Multiresolution Markov models for signal and image processing
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[1] P. Whittle. ON STATIONARY PROCESSES IN THE PLANE , 1954 .
[2] P. Levy. Le mouvement brownien , 1955 .
[3] L. Marton,et al. Advances in Electronics and Electron Physics , 1958 .
[4] C. Striebel,et al. On the maximum likelihood estimates for linear dynamic systems , 1965 .
[5] S. Sussman,et al. Analysis of the Pareto Model for Error Statistics on Telephone Circuits , 1963 .
[6] Benoit B. Mandelbrot,et al. Self-Similar Error Clusters in Communication Systems and the Concept of Conditional Stationarity , 1965 .
[7] Laveen N. Kanal,et al. Classification of binary random patterns , 1965, IEEE Trans. Inf. Theory.
[8] B. Mandelbrot,et al. Fractional Brownian Motions, Fractional Noises and Applications , 1968 .
[9] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[10] John W. Woods,et al. Two-dimensional discrete Markovian fields , 1972, IEEE Trans. Inf. Theory.
[11] Umberto Bertelè,et al. Nonserial Dynamic Programming , 1972 .
[12] Y. Ho,et al. Team decision theory and information structures in optimal control problems--Part II , 1972 .
[13] A. George. Nested Dissection of a Regular Finite Element Mesh , 1973 .
[14] A. Journel. Geostatistics for Conditional Simulation of Ore Bodies , 1974 .
[15] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .
[16] H. Akaike. Stochastic theory of minimal realization , 1974 .
[17] Anil K. Jain,et al. Image Restoration, Modelling, and Reduction of Dimensionality , 1974, IEEE Transactions on Computers.
[18] H. Akaike. Markovian Representation of Stochastic Processes by Canonical Variables , 1975 .
[19] JOHN w. WOODS,et al. Kalman filtering in two dimensions , 1977, IEEE Trans. Inf. Theory.
[20] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[21] D. Brandt,et al. Multi-level adaptive solutions to boundary-value problems math comptr , 1977 .
[22] A.S. Willsky,et al. Relationships between digital signal processing and control and estimation theory , 1978, Proceedings of the IEEE.
[23] Thomas Kailath,et al. A further note on backwards Markovian models (Corresp.) , 1979, IEEE Trans. Inf. Theory.
[24] Bruno O. Shubert,et al. Random variables and stochastic processes , 1979 .
[25] G. Picci,et al. On the Stochastic Realization Problem , 1979 .
[26] Carl Wunsch,et al. On Using Satellite Altimetry to Determine the General Circulation of the Oceans With Application to Geoid Improvement (Paper 80R0631) , 1980 .
[27] Azriel Rosenfeld,et al. Segmentation and Estimation of Image Region Properties through Cooperative Hierarchial Computation , 1981, IEEE Transactions on Systems, Man, and Cybernetics.
[28] Edward H. Adelson,et al. IMAGE DATA COMPRESSION WITH THE LAPLACIAN PYRAMID , 1981 .
[29] Hendrik James Antonisse. Image segmentation in pyramids , 1982, Comput. Graph. Image Process..
[30] R. Baxter. Exactly solved models in statistical mechanics , 1982 .
[31] Rama Chellappa,et al. Texture classification using features derived from random field models , 1982, Pattern Recognit. Lett..
[32] B. Anderson,et al. Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[33] Edward H. Adelson,et al. The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..
[34] Robert E. Tarjan,et al. Simple Linear-Time Algorithms to Test Chordality of Graphs, Test Acyclicity of Hypergraphs, and Selectively Reduce Acyclic Hypergraphs , 1984, SIAM J. Comput..
[35] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] A. Willsky,et al. Linear estimation of boundary value stochastic processes-- Part I: The role and construction of complementary models , 1984 .
[37] Alex Pentland,et al. Fractal-Based Description of Natural Scenes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Donald Geman,et al. Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Charles R. Johnson,et al. Positive definite completions of partial Hermitian matrices , 1984 .
[40] Alan S. Willsky,et al. Linear estimation of boundary value stochastic processes--Part II: 1-D smoothing problems , 1984 .
[41] P. Kumar,et al. Theory and practice of recursive identification , 1985, IEEE Transactions on Automatic Control.
[42] V. Rokhlin. Rapid solution of integral equations of classical potential theory , 1985 .
[43] John G. Proakis,et al. Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..
[44] Shaun Lovejoy,et al. Generalized Scale Invariance in the Atmosphere and Fractal Models of Rain , 1985 .
[45] Robert E. Tarjan,et al. Decomposition by clique separators , 1985, Discret. Math..
[46] Rama Chellappa,et al. Classification of textures using Gaussian Markov random fields , 1985, IEEE Trans. Acoust. Speech Signal Process..
[47] Demetri Terzopoulos,et al. Image Analysis Using Multigrid Relaxation Methods , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] B. Hofmann-Wellenhof,et al. Introduction to spectral analysis , 1986 .
[49] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[50] M. Taqqu. A Bibliographical Guide to Self-Similar Processes and Long-Range Dependence , 1986 .
[51] Alan S. Willsky,et al. Smoothing error dynamics and their use in the solution of smoothing and mapping problems , 1986, IEEE Trans. Inf. Theory.
[52] David B. Cooper,et al. Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[53] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[54] William L. Briggs,et al. A multigrid tutorial , 1987 .
[55] Tomaso Poggio,et al. Probabilistic Solution of Ill-Posed Problems in Computational Vision , 1987 .
[56] I. Duff,et al. Direct Methods for Sparse Matrices , 1987 .
[57] M. Bertero,et al. Ill-posed problems in early vision , 1988, Proc. IEEE.
[58] Wilfried Enkelmann,et al. Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences , 1988, Comput. Vis. Graph. Image Process..
[59] A multi-resolution, probabilistic approach to 2D inverse conductivity problems , 1988 .
[60] Eric Dubois,et al. Multigrid Bayesian Estimation Of Image Motion Using Stochastic Relaxation , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[61] M. Bertero. Linear Inverse and III-Posed Problems , 1989 .
[62] Alan S. Willsky,et al. Construction and applications of discrete-time smoothing error models , 1989 .
[63] Y. J. Tejwani,et al. Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.
[64] Charles R. Johnson,et al. Determinantal formulae for matrix completions associated with chordal graphs , 1989 .
[65] Roland Wilson,et al. Least-squares image estimation on a multiresolution pyramid , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[66] R. Baxter. Solving Models in Statistical Mechanics , 1989 .
[67] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[68] Basilis Gidas,et al. A Renormalization Group Approach to Image Processing Problems , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[69] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[70] D. Mumford,et al. Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .
[71] C. Wunsch,et al. Estimates from Altimeter Data of Barotropic Rossby Waves in the Northwestern Atlantic Ocean , 1989 .
[72] Patrick Flandrin,et al. On the spectrum of fractional Brownian motions , 1989, IEEE Trans. Inf. Theory.
[73] A. Willsky,et al. Estimation for boundary-value descriptor systems , 1989 .
[74] K. C. Chou,et al. A MULTI-RESOLUTION , PROBABILISTIC APPROACH TO TWO- DIMENSIONAL INVERSE CONDUCTIVITY PROBLEMS* , 1989 .
[75] Gregory W. Wornell,et al. A Karhunen-Loève-like expansion for 1/f processes via wavelets , 1990, IEEE Trans. Inf. Theory.
[76] Don H. Johnson,et al. Modeling and analyzing fractal point processes , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[77] M. Teich,et al. Rate fluctuations and fractional power-law noise recorded from cells in the lower auditory pathway of the cat , 1990, Hearing Research.
[78] A. Benveniste,et al. Multiscale system theory , 1990, 29th IEEE Conference on Decision and Control.
[79] K. Arun,et al. Balanced approximation of stochastic systems , 1990 .
[80] Prakash P. Shenoy,et al. Probability propagation , 1990, Annals of Mathematics and Artificial Intelligence.
[81] A. U.S. Parallel Smoothing * , 1990 .
[82] Bernard C. Levy. Noncausal Estimation for Discrete Gauss-Markov Random Fields , 1990 .
[83] Gregory F. Cooper,et al. The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..
[84] A. Krener,et al. Modeling and estimation of discrete-time Gaussian reciprocal processes , 1990 .
[85] Ofer Zeitouni,et al. On the wavelet transform of fractional Brownian motion , 1991, IEEE Trans. Inf. Theory.
[86] Stuart A. Golden,et al. Identifying multiscale statistical models using the wavelet transform , 1991 .
[87] Charles A. Bouman,et al. Multiple Resolution Segmentation of Textured Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[88] R. Coifman,et al. Fast wavelet transforms and numerical algorithms I , 1991 .
[89] B. Levy,et al. Some new smoother implementations for discrete-time gaussian reciprocal processes , 1991 .
[90] F. S. Cohen,et al. Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[91] Jacques Froment,et al. Analyse multirésolution des signaux aléatoires , 1991 .
[92] A. Journel. Fundamentals of geostatistics in five lessons , 1991 .
[93] P. Pérez,et al. Parallel visual motion analysis using multiscale Markov random fields , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[94] Rama Chellappa,et al. Unsupervised Texture Segmentation Using Markov Random Field Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[95] Francesco M. Malvestuto,et al. Approximating discrete probability distributions with decomposable models , 1991, IEEE Trans. Syst. Man Cybern..
[96] Michèle Basseville,et al. Modeling and estimation of multiresolution stochastic processes , 1992, IEEE Trans. Inf. Theory.
[97] Patrick Flandrin,et al. Wavelet analysis and synthesis of fractional Brownian motion , 1992, IEEE Trans. Inf. Theory.
[98] Ramine Nikoukhah,et al. Graph structure and recursive estimation of noisy linear relations , 1992 .
[99] Gregory W. Wornell,et al. Wavelet-based representations for a class of self-similar signals with application to fractal modulation , 1992, IEEE Trans. Inf. Theory.
[100] Luigi Ambrosio,et al. ON THE APPROXIMATION OF FREE DISCONTINUITY PROBLEMS , 1992 .
[101] Maria Petrou,et al. A generalisation of renormalisation group methods for multiresolution image analysis , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.
[102] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[103] Ronald R. Coifman,et al. Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.
[104] A. Willsky,et al. Kalman filtering and Riccati equations for descriptor systems , 1992 .
[105] Gregory W. Wornell,et al. Estimation of fractal signals from noisy measurements using wavelets , 1992, IEEE Trans. Signal Process..
[106] Edward H. Adelson,et al. Shiftable multiscale transforms , 1992, IEEE Trans. Inf. Theory.
[107] Furs-Ching Jeng,et al. Subsampling of Markov random fields , 1992, J. Vis. Commun. Image Represent..
[108] Darrin Taylor,et al. Parallel estimation on one and two dimensional systems , 1992 .
[109] T. M. Chin,et al. Sequential filtering for multi-frame visual reconstruction , 1992, Signal Process..
[110] A. Benveniste,et al. Multiscale autoregressive processes. I. Schur-Levinson parametrizations , 1992, IEEE Trans. Signal Process..
[111] Prakash P. Shenoy,et al. Valuation-Based Systems for Bayesian Decision Analysis , 1992, Oper. Res..
[112] A. P. Dawid,et al. Applications of a general propagation algorithm for probabilistic expert systems , 1992 .
[113] Jun Zhang. The mean field theory in EM procedures for Markov random fields , 1992, IEEE Trans. Signal Process..
[114] Stéphane Mallat,et al. Introduction to the special issue on wavelet transforms and multiresolution signal analysis , 1992, IEEE Transactions on Information Theory.
[115] Michèle Basseville,et al. Multiscale autoregressive processes. II. Lattice structures for whitening and modeling , 1992, IEEE Trans. Signal Process..
[116] A.H. Tewfik,et al. Correlation structure of the discrete wavelet coefficients of fractional Brownian motion , 1992, IEEE Trans. Inf. Theory.
[117] David C. Dobson,et al. Convergence of a reconstruction method for the inverse conductivity problem , 1992 .
[118] Françoise Peyrin,et al. Multiscale reconstruction of tomographic images , 1992, [1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis.
[119] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[120] Bernhard Claus. Multiscale statistical signal processing: identification of a multiscale AR process from a sample of an ordinary signal , 1993, IEEE Trans. Signal Process..
[121] Davi Geiger,et al. Scaling images and image features via the renormalization group , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[122] Lang Hong. Multiresolutional filtering using wavelet transform , 1993 .
[123] Jun Liu. A Multiresolution Method for Distributed Parameter Estimation , 1993, SIAM J. Sci. Comput..
[124] Jerome M. Shapiro,et al. Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..
[125] Elias Masry,et al. The wavelet transform of stochastic processes with stationary increments and its application to fractional Brownian motion , 1993, IEEE Trans. Inf. Theory.
[126] Ken D. Sauer,et al. A generalized Gaussian image model for edge-preserving MAP estimation , 1993, IEEE Trans. Image Process..
[127] W. Clem Karl,et al. Multiscale representations of Markov random fields , 1993, IEEE Trans. Signal Process..
[128] C.-C. Jay Kuo,et al. Fractal estimation from noisy data via discrete fractional Gaussian noise (DFGN) and the Haar basis , 1993, IEEE Trans. Signal Process..
[129] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[130] Alan S. Willsky,et al. Multiresolution stochastic models, data fusion, and wavelet transforms , 1993, Signal Process..
[131] G. Wornell. Wavelet-based representations for the 1/f family of fractal processes , 1993, Proc. IEEE.
[132] Berkman Sahiner,et al. Image reconstruction from projections under wavelet constraints , 1993, IEEE Trans. Signal Process..
[133] Hanns-Georg Leimer,et al. Optimal decomposition by clique separators , 1993, Discret. Math..
[134] Teich,et al. Fractal renewal processes generate 1/f noise. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[135] Frank Thomson Leighton,et al. Preconditioned, Adaptive, Multipole-Accelerated Iterative Methods for Three-Dimensional First-Kind Integral Equations of Potential Theory , 1994, SIAM J. Sci. Comput..
[136] Charles A. Bouman,et al. A multiscale random field model for Bayesian image segmentation , 1994, IEEE Trans. Image Process..
[137] Ravi Mazumdar,et al. On the correlation structure of the wavelet coefficients of fractional Brownian motion , 1994, IEEE Trans. Inf. Theory.
[138] E.E. Pissaloux,et al. Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.
[139] Alan S. Willsky,et al. Multiscale appoaches to moving target detection in image sequences , 1994 .
[140] K. C. Chou,et al. Multiscale systems, Kalman filters, and Riccati equations , 1994, IEEE Trans. Autom. Control..
[141] K. C. Chou,et al. Multiscale recursive estimation, data fusion, and regularization , 1994, IEEE Trans. Autom. Control..
[142] T. M. Chin,et al. Probabilistic and sequential computation of optical flow using temporal coherence , 1994, IEEE Trans. Image Process..
[143] P. Pérez,et al. Multiscale minimization of global energy functions in some visual recovery problems , 1994 .
[144] N. Gantert. Self-similarity of Brownian motion and a large deviation principle for random fields on a binary tree , 1994 .
[145] Yoram Bresler,et al. Multiresolution tomographic reconstruction using wavelets , 1994, Proceedings of 1st International Conference on Image Processing.
[146] Tim Olson,et al. Wavelet localization of the Radon transform , 1994, IEEE Trans. Signal Process..
[147] W. Clem Karl,et al. Efficient multiscale regularization with applications to the computation of optical flow , 1994, IEEE Trans. Image Process..
[148] B. Claus,et al. Multiscale signal processing: isotropic random fields on homogeneous trees , 1994 .
[149] Jun Zhang,et al. A wavelet-based KL-like expansion for wide-sense stationary random processes , 1994, IEEE Trans. Signal Process..
[150] Ravi Mazumdar,et al. Wavelet representations of stochastic processes and multiresolution stochastic models , 1994, IEEE Trans. Signal Process..
[151] Jan Beran,et al. Statistics for long-memory processes , 1994 .
[152] Lee de Cola,et al. Simulating and Mapping Spatial Complexity Using Multi-Scale Techniques , 1994, Int. J. Geogr. Inf. Sci..
[153] L. Hong. Multiresolutional distributed filtering , 1994, IEEE Trans. Autom. Control..
[154] Anthony A. Maciejewski,et al. Automated assembly inspection using a multiscale algorithm trained on synthetic images , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[155] F. Sellan,et al. Synthèse de mouvements browniens fractionnaires à l'aide de la transformation par ondelettes , 1995 .
[156] Francoise J. Preteux,et al. Hierarchical Markov random field models applied to image analysis: a review , 1995, Optics + Photonics.
[157] Anthony A. Maciejewski,et al. A multiscale stochastic image model for automated inspection , 1995, IEEE Transactions on Image Processing.
[158] D. Donoho. Nonlinear Solution of Linear Inverse Problems by Wavelet–Vaguelette Decomposition , 1995 .
[159] Bhavik R. Bakshi,et al. Analysis of flow in gas-liquid bubble columns using multi-resolution methods , 1995 .
[160] D. Donoho,et al. Translation-Invariant De-Noising , 1995 .
[161] Bor-Sen Chen,et al. Optimal signal reconstruction in noisy filter bank systems: multirate Kalman synthesis filtering approach , 1995, IEEE Trans. Signal Process..
[162] Carl Wunsch,et al. The global frequency-wavenumber spectrum of oceanic variability estimated from TOPEX/POSEIDON altimetric measurements , 1995 .
[163] Jean-Christophe Pesquet,et al. Multiresolution analysis of a class of nonstationary processes , 1995, IEEE Trans. Inf. Theory.
[164] Roland Wilson,et al. Adaptive image restoration using a multiresolution Hopfield neural network , 1995 .
[165] Eric L. Miller,et al. A Multiscale Approach to Sensor Fusion and the Solution of Linear Inverse Problems , 1995 .
[166] Jelena Kovacevic,et al. Wavelets and Subband Coding , 2013, Prentice Hall Signal Processing Series.
[167] J. R. Rohlicek,et al. Parameter estimation of dependence tree models using the EM algorithm , 1995, IEEE Signal Processing Letters.
[168] Alan S. Willsky,et al. Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination , 1995, IEEE Trans. Image Process..
[169] Carl Wunsch,et al. Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry , 1995 .
[170] Peter C. Doerschuk,et al. Tree Approximations to Markov Random Fields , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[171] Gregory W. Wornell,et al. Multiscale representation and estimation of fractal point processes , 1995, IEEE Trans. Signal Process..
[172] Alan S. Willsky,et al. Multiscale smoothing error models , 1995, IEEE Trans. Autom. Control..
[173] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[175] D. Schertzer,et al. New Uncertainty Concepts in Hydrology and Water Resources: Multifractals and rain , 1995 .
[176] Paul W. Fieguth,et al. Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry , 1995, IEEE Transactions on Geoscience and Remote Sensing.
[177] Gaofeng Wang,et al. Solution of inverse problems in image processing by wavelet expansion , 1995, IEEE Trans. Image Process..
[178] D. Donoho,et al. Translation-Invariant DeNoising , 1995 .
[179] Michael I. Jordan,et al. Exploiting Tractable Substructures in Intractable Networks , 1995, NIPS.
[180] M. Taqqu,et al. Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance , 1995 .
[181] D. Edwards. Introduction to graphical modelling , 1995 .
[182] Eric L. Miller,et al. Wavelet‐based methods for the nonlinear inverse scattering problem using the extended Born approximation , 1996 .
[183] Anthony A. Maciejewski,et al. A multiscale assembly inspection algorithm , 1996, IEEE Robotics Autom. Mag..
[184] W. Clem Karl,et al. Multiscale segmentation and anomaly enhancement of SAR imagery , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[185] Pol D. Spanos,et al. Random Field Representation and Synthesis Using Wavelet Bases , 1996 .
[186] C. Burrus,et al. Noise reduction using an undecimated discrete wavelet transform , 1996, IEEE Signal Processing Letters.
[187] Helmut Lucke,et al. Which stochastic models allow Baum-Welch training? , 1996, IEEE Trans. Signal Process..
[188] William A. Pearlman,et al. Analysis of linear prediction, coding, and spectral estimation from subbands , 1996, IEEE Trans. Inf. Theory.
[189] Edward H. Adelson,et al. Noise removal via Bayesian wavelet coring , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[190] Mari Ostendorf,et al. From HMM's to segment models: a unified view of stochastic modeling for speech recognition , 1996, IEEE Trans. Speech Audio Process..
[191] Eric Fabre. New fast smoothers for multiscale systems , 1996, IEEE Trans. Signal Process..
[192] Ken D. Sauer,et al. A non-homogeneous MRF model for multiresolution Bayesian estimation , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[193] Paul W. Fieguth,et al. Fractal estimation using models on multiscale trees , 1996, IEEE Trans. Signal Process..
[194] Hervé Carfantan,et al. Time-invariant orthonormal wavelet representations , 1996, IEEE Trans. Signal Process..
[195] L. Baxter. Random Fields on a Network: Modeling, Statistics, and Applications , 1996 .
[196] A. Oppenheim,et al. Signal processing with fractals: a wavelet-based approach , 1996 .
[197] Aggelos K. Katsaggelos,et al. Spatially adaptive wavelet-based multiscale image restoration , 1996, IEEE Trans. Image Process..
[198] W. Clem Karl,et al. A wavelet-based method for multiscale tomographic reconstruction , 1996, IEEE Trans. Medical Imaging.
[199] Patrick Pérez,et al. Restriction of a Markov random field on a graph and multiresolution statistical image modeling , 1996, IEEE Trans. Inf. Theory.
[200] Josiane Zerubia,et al. A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification , 1996, CVGIP Graph. Model. Image Process..
[201] Eric L. Miller,et al. A multiscale, statistically based inversion scheme for linearized inverse scattering problems , 1996, IEEE Trans. Geosci. Remote. Sens..
[202] Stefanos D. Kollias,et al. Optimal filter banks for signal reconstruction from noisy subband components , 1996, IEEE Trans. Signal Process..
[203] E. Kolaczyk. A Wavelet Shrinkage Approach to Tomographic Image Reconstruction , 1996 .
[204] A. Willsky,et al. A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing , 1997, Proc. IEEE.
[205] K. J. Ray Liu,et al. Wavelet-based multiresolution local tomography , 1997, IEEE Trans. Image Process..
[206] Michael I. Jordan,et al. Estimating Dependency Structure as a Hidden Variable , 1997, NIPS.
[207] Yao Wang,et al. A wavelet-based multiresolution regularized least squares reconstruction approach for optical tomography , 1997, IEEE Transactions on Medical Imaging.
[208] Jeremy S. De Bonet,et al. Multiresolution sampling procedure for analysis and synthesis of texture images , 1997, SIGGRAPH.
[209] Paul W. Fieguth,et al. An overlapping tree approach to multiscale stochastic modeling and estimation , 1997, IEEE Trans. Image Process..
[210] Rama Chellappa,et al. Multiresolution Gauss-Markov random field models for texture segmentation , 1997, IEEE Trans. Image Process..
[211] W. Clem Karl,et al. Multiscale segmentation and anomaly enhancement of SAR imagery , 1997, IEEE Trans. Image Process..
[212] Michael T. Orchard,et al. Image coding based on mixture modeling of wavelet coefficients and a fast estimation-quantization framework , 1997, Proceedings DCC '97. Data Compression Conference.
[213] Carl Wunsch,et al. Adaptation of a fast optimal interpolation algorithm to the mapping of oceanographic data , 1997 .
[214] Eero P. Simoncelli. Statistical models for images: compression, restoration and synthesis , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).
[215] Eric L. Miller,et al. Multiscale, Statistical Anomaly Detection Analysis and Algorithms for Linearized Inverse Scattering Problems , 1997, Multidimens. Syst. Signal Process..
[216] W. W. Irving,et al. A multiresolution approach to discrimination in SAR imagery , 1997, IEEE Transactions on Aerospace and Electronic Systems.
[217] A. Farina,et al. The fusion of different resolution SAR images , 1997 .
[218] W. Clem Karl,et al. A Statistical Method for Efficient Segmentation of MR Imagery , 1997, Int. J. Pattern Recognit. Artif. Intell..
[219] W. Clem Karl,et al. Tomographic reconstruction and estimation based on multiscale natural-pixel bases , 1997, IEEE Trans. Image Process..
[220] Eero P. Simoncelli,et al. Embedded wavelet image compression based on a joint probability model , 1997, Proceedings of International Conference on Image Processing.
[221] Alan S. Willsky,et al. Low complexity optimal joint detection for oversaturated multiple access communications , 1997, IEEE Trans. Signal Process..
[222] Ioannis M. Stephanakis. Regularized image restoration in multiresolution spaces , 1997 .
[223] H. Chipman,et al. Adaptive Bayesian Wavelet Shrinkage , 1997 .
[224] A. Willsky,et al. Efficient implementations of 2-D noncausal IIR filters , 1997 .
[225] Michael I. Jordan,et al. Probabilistic Independence Networks for Hidden Markov Probability Models , 1997, Neural Computation.
[226] T. M. Chin,et al. Space-time interpolation of oceanic fronts , 1997, IEEE Trans. Geosci. Remote. Sens..
[227] Rajesh P. N. Rao,et al. Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex , 1997, Neural Computation.
[228] Nikola S. Subotic,et al. Multiresolution detection of coherent radar targets , 1997, IEEE Trans. Image Process..
[229] Paul A. Viola,et al. A Non-Parametric Multi-Scale Statistical Model for Natural Images , 1997, NIPS.
[230] Wavelet Cascades , 1997 .
[231] S. S. Saquib,et al. Edge-preserving models and efficient algorithms for ill-posed inverse problems in image processing , 1997 .
[232] Paul A. Viola,et al. Texture recognition using a non-parametric multi-scale statistical model , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[233] Gustavo A. Hirchoren,et al. Estimation of fractal signals using wavelets and filter banks , 1998, IEEE Trans. Signal Process..
[234] Jung-Fu Cheng,et al. Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm , 1998, IEEE J. Sel. Areas Commun..
[235] Berkman Sahiner,et al. Iterative inversion of the Radon transform using image-adaptive wavelet constraints , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[236] W. Clem Karl,et al. A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data , 1998, IEEE Trans. Image Process..
[237] Eric L. Miller,et al. Nonlinear inverse scattering methods for thermal-wave slice tomography: a wavelet domain approach , 1998 .
[238] Fionn Murtagh,et al. Image Processing and Data Analysis - The Multiscale Approach , 1998 .
[239] Chang-Tsun Li,et al. Image segmentation based on a multiresolution Bayesian framework , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[240] Brendan J. Frey,et al. Graphical Models for Machine Learning and Digital Communication , 1998 .
[241] William M. Wells,et al. Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 , 1998, Lecture Notes in Computer Science.
[242] Paul W. Fieguth,et al. Multipole-motivated reduced-state estimation , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[243] B. Vidakovic. Nonlinear wavelet shrinkage with Bayes rules and Bayes factors , 1998 .
[244] B. Silverman,et al. Wavelet decomposition approaches to statistical inverse problems , 1998 .
[245] George Stephanopoulos,et al. Multi-Scale Aspects in Model-Predictive Control , 1998 .
[246] I. Rozanov,et al. Random Fields and Stochastic Partial Differential Equations , 1998 .
[247] Xavier Boyen,et al. Tractable Inference for Complex Stochastic Processes , 1998, UAI.
[248] Carl Wunsch,et al. Mapping Mediterranean Altimeter Data with a Multiresolution Optimal Interpolation Algorithm , 1998 .
[249] Emmanuel Bacry,et al. Random cascades on wavelet dyadic trees , 1998 .
[250] B. Silverman,et al. Wavelet thresholding via a Bayesian approach , 1998 .
[251] Robert D. Nowak,et al. Wavelet-based statistical signal processing using hidden Markov models , 1998, IEEE Trans. Signal Process..
[252] Charles R. Johnson,et al. Critical Graphs for the Positive Definite Completion Problem , 1998, SIAM J. Matrix Anal. Appl..
[253] Brendan J. Frey,et al. Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models , 1998, IEEE J. Sel. Areas Commun..
[254] Martin Vetterli,et al. Spatially adaptive wavelet thresholding with context modeling for image denoising , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[255] S. Mallat. A wavelet tour of signal processing , 1998 .
[256] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine-mediated learning.
[257] N. Cressie,et al. Image analysis with partially ordered Markov models , 1998 .
[258] R. Nowak. SHIFT INVARIANT WAVELET-BASED STATISTICAL MODELS AND 1 = F PROCESSES , 1998 .
[259] Michael I. Jordan. Graphical Models , 1998 .
[260] Andrea Braides. Approximation of Free-Discontinuity Problems , 1998 .
[261] Paul W. Fieguth,et al. Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction , 1998, Comput. Vis. Image Underst..
[262] M. Clyde,et al. Multiple shrinkage and subset selection in wavelets , 1998 .
[263] Eero P. Simoncelli. Bayesian Denoising of Visual Images in the Wavelet Domain , 1999 .
[264] Eero P. Simoncelli,et al. Image compression via joint statistical characterization in the wavelet domain , 1999, IEEE Trans. Image Process..
[265] Karlene A. Hoo,et al. A Multiscale Model Predictive Control Strategy , 1999 .
[266] S. S. Saquib,et al. A Multiresolution Non-Homogeneous MRF Model for Bayesian Tomography , 1999 .
[267] Ken D. Sauer,et al. Multiscale models for Bayesian inverse problems , 1999, Optics & Photonics.
[268] Walter Willinger,et al. Introduction to Special Issue on Mutliscale Statistical Signal Analysis and Its Application , 1999, IEEE Trans. Inf. Theory.
[269] Edward J. Delp,et al. Segmentation of textured images using a multiresolution Gaussian autoregressive model , 1999, IEEE Trans. Image Process..
[270] Marina Meila,et al. An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High-Dimensional Sparse Data , 1999, ICML.
[271] Alan S. Willsky,et al. The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework , 1999, IEEE Trans. Inf. Theory.
[272] Alan S. Willsky,et al. Multiscale Autoregressive Models and Wavelets , 1999, IEEE Trans. Inf. Theory.
[273] E. Kolaczyk. Bayesian Multiscale Models for Poisson Processes , 1999 .
[274] Shiying Zhao. Wavelet Filtering for Filtered Backprojection in Computed Tomography , 1999 .
[275] Pierre Moulin,et al. Analysis of Multiresolution Image Denoising Schemes Using Generalized Gaussian and Complexity Priors , 1999, IEEE Trans. Inf. Theory.
[276] Roger M. Dufour,et al. Statistical signal restoration with 1/f wavelet domain prior models , 1999, Signal Process..
[277] H. Krim,et al. Hierarchical stochastic modeling of SAR imagery for segmentation/compression , 1999, IEEE Trans. Signal Process..
[278] Praveen Kumar,et al. A multiple scale state-space model for characterizing subgrid scale variability of near-surface soil moisture , 1999, IEEE Trans. Geosci. Remote. Sens..
[279] Robert D. Nowak,et al. Multiscale Modeling and Estimation of Poisson Processes with Application to Photon-Limited Imaging , 1999, IEEE Trans. Inf. Theory.
[280] Stéphane Mallat,et al. On denoising and best signal representation , 1999, IEEE Trans. Inf. Theory.
[281] N. Kingsbury. Image processing with complex wavelets , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[282] Josiane Zerubia,et al. Unsupervised parallel image classification using Markovian models , 1999, Pattern Recognit..
[283] Ken D. Sauer,et al. Multiscale Bayesian Methods for Discrete Tomography , 1999 .
[284] Kannan Ramchandran,et al. Low-complexity image denoising based on statistical modeling of wavelet coefficients , 1999, IEEE Signal Processing Letters.
[285] Hamid Krim,et al. Minimax Description Length for Signal Denoising and Optimized Representation , 1999, IEEE Trans. Inf. Theory.
[286] Richard G. Baraniuk,et al. A Multifractal Wavelet Model with Application to Network Traffic , 1999, IEEE Trans. Inf. Theory.
[287] Robert Nowak,et al. Multiscale Hidden Markov Models for Bayesian Image Analysis , 1999 .
[288] David Mumford,et al. Statistics of natural images and models , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[289] Warren B. Cohen,et al. Multiscale Assessment of Binary and Continuous Landcover Variables for MODIS Validation, Mapping, and Modeling Applications , 1999 .
[290] Xavier Descombes,et al. Estimating Gaussian Markov random field parameters in a nonstationary framework: application to remote sensing imaging , 1999, IEEE Trans. Image Process..
[291] Noel Cressie,et al. Texture synthesis and pattern recognition for partially ordered Markov models , 1999, Pattern Recognit..
[292] Benjamin Van Roy,et al. An Analysis of Turbo Decoding with Gaussian Densities , 1999, NIPS.
[293] Computer-Assisted Intervention,et al. Medical Image Computing and Computer-Assisted Intervention – MICCAI’99 , 1999, Lecture Notes in Computer Science.
[294] Robert J. McEliece,et al. The generalized distributive law , 2000, IEEE Trans. Inf. Theory.
[295] Patrick Pérez,et al. Discrete Markov image modeling and inference on the quadtree , 2000, IEEE Trans. Image Process..
[296] R. Nowak,et al. A statistical multiscale framework for Poisson inverse problems , 2000, IEEE Trans. Inf. Theory.
[297] Noel Cressie,et al. Deterministic/Stochastic Wavelet Decomposition for Recovery of Signal From Noisy Data , 2000, Technometrics.
[298] Yair Weiss,et al. Correctness of Local Probability Propagation in Graphical Models with Loops , 2000, Neural Computation.
[299] Martin J. Wainwright,et al. Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles , 2000, NIPS.
[300] Robert M. Gray,et al. Multiresolution image classification by hierarchical modeling with two-dimensional hidden Markov models , 2000, IEEE Trans. Inf. Theory.
[301] Michael I. Jordan,et al. Learning with Mixtures of Trees , 2001, J. Mach. Learn. Res..
[302] B. Bakshi,et al. A Multiscale, Bayesian and Error-In-Variables Approach for Linear Dynamic Data Rectification , 2000 .
[303] A. Willsky,et al. A multiscale approach for estimating solute travel time distributions , 2000 .
[304] N. Decoster,et al. A wavelet-based method for multifractal image analysis. II. Applications to synthetic multifractal rough surfaces , 2000 .
[305] Noel A Cressie,et al. Long-Lead Prediction of Pacific SSTs via Bayesian Dynamic Modeling , 2000 .
[306] Thomas J. Richardson,et al. The geometry of turbo-decoding dynamics , 2000, IEEE Trans. Inf. Theory.
[307] Murali Tummala,et al. Multirate, multiresolution, recursive Kalman filter , 2000, Signal Process..
[308] Ken D. Sauer,et al. Bayesian multiresolution algorithm for PET reconstruction , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[309] George Stephanopoulos,et al. Multi-scale aspects in model-predictive control , 2000 .
[310] Dimitris Menemenlis,et al. Error Estimates for an Ocean General Circulation Model from Altimeter and Acoustic Tomography Data , 2000 .
[311] Mari Ostendorf,et al. ML parameter estimation of a multiscale stochastic process using the EM algorithm , 2000, IEEE Trans. Signal Process..
[312] Tommi S. Jaakkola,et al. Tractable Bayesian learning of tree belief networks , 2000, Stat. Comput..
[313] W. Freeman,et al. Generalized Belief Propagation , 2000, NIPS.
[314] Eero P. Simoncelli,et al. Image denoising using a local Gaussian scale mixture model in the wavelet domain , 2000, SPIE Optics + Photonics.
[315] P. Fieguth,et al. Data fusion of sea-surface temperature data , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
[316] Paul W. Fieguth,et al. Multiscale methods for the segmentation and reconstruction of signals and images , 2000, IEEE Trans. Image Process..
[317] ControlHsin-Cheng HuangNoel CressieABSTRACT. Multiscale Graphical Modeling in Space: Applications to Command and Control , 2000 .
[318] Justin K. Romberg,et al. Bayesian tree-structured image modeling , 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.
[319] Stefano Vignudelli,et al. Integrated use of altimeter and in situ data for understanding the water exchanges between the Tyrrhenian and Ligurian Seas , 2000 .
[320] Nick G. Kingsbury,et al. Multiscale classification using complex wavelets and hidden Markov tree models , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[321] Hui Cheng,et al. Multiscale Bayesian segmentation using a trainable context model , 2001, IEEE Trans. Image Process..
[322] D. Donoho,et al. Atomic Decomposition by Basis Pursuit , 2001 .
[323] Jun Zhang,et al. Expectation-maximization algorithms for image processing using multiscale models and mean- field theory, with applications to laser radar range profiling and segmentation , 2001 .
[324] William T. Freeman,et al. Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology , 1999, Neural Computation.
[325] Efi Foufoula-Georgiou,et al. Scale issues in verification of precipitation forecasts , 2001 .
[326] R. Christensen. Introduction to Graphical Modeling , 2001 .
[327] William T. Freeman,et al. On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs , 2001, IEEE Trans. Inf. Theory.
[328] Eero P. Simoncelli,et al. Random Cascades on Wavelet Trees and Their Use in Analyzing and Modeling Natural Images , 2001 .
[329] A. Kirwan,et al. Filtering noise from oceanographic data with some applications for the Kara and Black Seas , 2001 .
[330] Dara Entekhabi,et al. Scale-recursive assimilation of precipitation data , 2001 .
[331] Noel A Cressie,et al. Multiscale Graphical Modeling in Space: Applications to Command and Control , 2001 .
[332] Charles A. Bouman,et al. Nonlinear multigrid algorithms for Bayesian optical diffusion tomography , 2001, IEEE Trans. Image Process..
[333] Dani Lischinski,et al. Texture Mixing and Texture Movie Synthesis Using Statistical Learning , 2001, IEEE Trans. Vis. Comput. Graph..
[334] Alan S. Willsky,et al. A canonical correlations approach to multiscale stochastic realization , 2001, IEEE Trans. Autom. Control..
[335] Nathan Srebro,et al. Maximum likelihood bounded tree-width Markov networks , 2001, Artif. Intell..
[336] Gregory W. Wornell,et al. Multiscale Analysis and Control of Networks with Fractal Traffic , 2001 .
[337] Justin K. Romberg,et al. Bayesian tree-structured image modeling using wavelet-domain hidden Markov models , 2001, IEEE Trans. Image Process..
[338] Nam-Yong Lee,et al. Wavelet methods for inverting the Radon transform with noisy data , 2001, IEEE Trans. Image Process..
[339] David R. Karger,et al. Learning Markov networks: maximum bounded tree-width graphs , 2001, SODA '01.
[340] Richard G. Baraniuk,et al. Multiscale image segmentation using wavelet-domain hidden Markov models , 2001, IEEE Trans. Image Process..
[341] Paul W. Fieguth,et al. Computationally efficient steady-state multiscale estimation for 1-D diffusion processes , 2001, Autom..
[342] Pedro Larrañaga,et al. An Introduction to Probabilistic Graphical Models , 2002, Estimation of Distribution Algorithms.
[343] Sailes K. Sengupta,et al. Bayesian Inference in Wavelet-Based Models , 2002, Technometrics.
[344] Ken D. Sauer,et al. Adaptive wavelet graph model for Bayesian tomographic reconstruction , 2002, IEEE Trans. Image Process..
[345] Noel A Cressie,et al. Fast, Resolution-Consistent Spatial Prediction of Global Processes From Satellite Data , 2002 .
[346] Tiberiu Constantinescu. Schur Parameters, Factorization and Dilation Problems , 2002 .
[347] Justin K. Romberg,et al. Hidden Markov Tree Models for Complex Wavelet Transforms , 2002 .
[348] Alan S. Willsky,et al. A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling , 2003, IEEE Trans. Inf. Theory.
[349] Berthold K. P. Horn. Height and gradient from shading , 1989, International Journal of Computer Vision.
[350] Michael I. Jordan,et al. Factorial Hidden Markov Models , 1995, Machine Learning.
[351] Richard Szeliski,et al. Bayesian modeling of uncertainty in low-level vision , 2011, International Journal of Computer Vision.
[352] Martin J. Wainwright,et al. Embedded trees: estimation of Gaussian Processes on graphs with cycles , 2004, IEEE Transactions on Signal Processing.
[353] L. M. Berliner,et al. Hierarchical Bayesian space-time models , 1998, Environmental and Ecological Statistics.
[354] Maria Huhtala,et al. Random Variables and Stochastic Processes , 2021, Matrix and Tensor Decompositions in Signal Processing.
[355] [91] D. Terzopoulos, Image Analysis Using Multigrid Relaxation Methods, IEEE , .
[356] Benveniste,et al. Multiscale Autoregressive Processes , Part II : Lattice Structures for Whitening and Modeling-? '-koI-6 , 2022 .
[357] Pi,et al. A Stochastic Realization Approach to the Smoothing Problem , .