Supervised and Projected Sparse Coding for Image Classification
暂无分享,去创建一个
Feiping Nie | Chris H. Q. Ding | Heng Huang | Jin Huang | C. Ding | Heng Huang | F. Nie | Jin Huang
[1] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[2] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[3] Stephen P. Boyd,et al. An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares , 2007, IEEE Journal of Selected Topics in Signal Processing.
[4] Mário A. T. Figueiredo,et al. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.
[5] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[6] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[7] Terence Sim,et al. The CMU Pose, Illumination, and Expression (PIE) database , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[8] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[9] Jiawei Han,et al. Spectral Regression for Efficient Regularized Subspace Learning , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[10] Thomas S. Huang,et al. Supervised translation-invariant sparse coding , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Shuiwang Ji,et al. SLEP: Sparse Learning with Efficient Projections , 2011 .
[12] Aleix M. Martínez,et al. Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[13] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[14] M. Salman Asif,et al. Dynamic Updating for ` 1 Minimization , 2009 .
[15] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[16] Stephen J. Wright,et al. Sparse Reconstruction by Separable Approximation , 2008, IEEE Transactions on Signal Processing.
[17] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[18] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[19] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[21] Feiping Nie,et al. Multi-Class L2,1-Norm Support Vector Machine , 2011, 2011 IEEE 11th International Conference on Data Mining.
[22] Justin K. Romberg,et al. Dynamic Updating for $\ell_{1}$ Minimization , 2009, IEEE Journal of Selected Topics in Signal Processing.
[23] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .