Texture recognition using a non-parametric multi-scale statistical model
暂无分享,去创建一个
[1] P. Graefe. Linear stochastic systems , 1966 .
[2] Anders Lindquist,et al. On optimal stochastic control with smoothed information , 1968, Inf. Sci..
[3] Anders Lindquist,et al. An innovations approach to optimal control of linear stochastic systems with time delay , 1969, Inf. Sci..
[4] A. Koivo,et al. Comments on "Certainty equivalence in stochastic linear time-lag systems" , 1971 .
[5] A. Lindquist. A theorem on duality between estimation and control for linear stochastic systems with time delay , 1972 .
[6] Anders Lindquist,et al. Optimal control of linear stochastic systems with applications to time lag systems , 1973, Inf. Sci..
[7] A. Lindquist. On Feedback Control of Linear Stochastic Systems , 1973 .
[8] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[9] A. Lindquist. Optimal Filtering of Continuous-Time Stationary Processes by Means of the Backward Innovation Process , 1974 .
[10] A. Lindquist. A New Algorithm for Optimal Filtering of Discrete-Time Stationary Processes , 1974 .
[11] A. Lindquist. On Fredholm integral equations, Toeplitz equations and Kalman-Bucy filtering , 1975 .
[12] A. Lindquist. Some new non-Riccati algorithms for continuous-time Kalman-Bucy filtering , 1976 .
[13] Thomas Kailath. Lectures on linear least-squares estimation , 1976 .
[14] A. Lindquist. Some reduced-order non-Riccati equations for linear least-squares estimation : the stationary, single-output case† , 1976 .
[15] A. Lindquist. On integrals in multi-output discrete-time Kalman-Bucy filtering , 1976 .
[16] G. Picci,et al. On the structure of minimal splitting subspaces in stochastic realization theory , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.
[17] G. Picci,et al. A hardy space approach to the stochastic realization problem , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[18] G. Picci,et al. A State-Space Theory for Stationary Stochastic Processes, , 1978 .
[19] Anders Lindquist,et al. On the Mayne-Fraser smoothing formula and stochastic realization theory for nonstationary linear stochastic systems , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
[20] G. Picci,et al. Realization Theory for Multivariate Gaussian Processes II: State Space Theory Revisited and Dynamical Representations of Finite Dimensional. , 1979 .
[21] A. Lindquist,et al. Markovian representation of discrete-time stationary stochastic vector processes , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
[22] A. Lindquist,et al. A Hamiltonian approach to the factorization of the matrix Riccati equation , 1982 .
[23] S. Mitter,et al. Toward a theory of nonlinear stochastic realization , 1982 .
[24] T. Hida. Stochastic systems: The mathematics of filtering and identification and applications , 1983 .
[25] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] W. T. Tucker. Linear Estimation and Stochastic Control , 1984 .
[27] A. Lindquist,et al. On the structure of state-space models for discrete-time stochastic vector processes , 1984 .
[28] J. Daugman. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[29] G. Picci,et al. Realization Theory for Multivariate Stationary Gaussian Processes , 1985 .
[30] J. Lindy. Books , 1985, The Lancet.
[31] Rama Chellappa,et al. Classification of textures using Gaussian Markov random fields , 1985, IEEE Trans. Acoust. Speech Signal Process..
[32] C. Byrnes,et al. Frequency domain and state space methods for linear systems , 1986 .
[33] G. Picci,et al. On noncausal estimation, stochastic realization, and the Riccati inequality , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.
[34] S. Mallat. Multiresolution approximations and wavelet orthonormal bases of L^2(R) , 1989 .
[35] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[36] C. Byrnes,et al. Stable, Unstable and Center Manifolds for Fast Filtering Algorithms , 1991 .
[37] Michèle Basseville,et al. Modeling and estimation of multiresolution stochastic processes , 1992, IEEE Trans. Inf. Theory.
[38] Edward H. Adelson,et al. Shiftable multiscale transforms , 1992, IEEE Trans. Inf. Theory.
[39] G. Picci,et al. On “Subspace Methods” Identification and Stochastic Model Reduction , 1994 .
[40] C. Byrnes,et al. Toward a solution of the minimal partial stochastic realization problem , 1994 .
[41] C. Byrnes,et al. The geometry of positive real functions with applications to the rational covariance extension problem , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.
[42] Vincent D. Blondel,et al. Survey on the State of Systems and Control , 1995, Eur. J. Control.
[43] James R. Bergen,et al. Texture Analysis: Representation and Matching , 1995, ICIAP.
[44] G. Picci,et al. Zeros of Spectral Factors, the Geometry of Splitting Subspaces, and the Algebraic Riccati Inequality , 1995 .
[45] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[46] Edward H. Adelson,et al. Noise removal via Bayesian wavelet coring , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[47] Simone Santini,et al. Gabor space and the development of preattentive similarity , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[48] D. Field,et al. Natural image statistics and efficient coding. , 1996, Network.
[49] Jeremy S. De Bonet,et al. Multiresolution sampling procedure for analysis and synthesis of texture images , 1997, SIGGRAPH.
[50] Paul A. Viola,et al. A Non-Parametric Multi-Scale Statistical Model for Natural Images , 1997, NIPS.
[51] Eero P. Simoncelli,et al. Image compression via joint statistical characterization in the wavelet domain , 1999, IEEE Trans. Image Process..
[52] Pi,et al. A Stochastic Realization Approach to the Smoothing Problem , .