MEASURING SPARSENESS OF NOISY SIGNALS
暂无分享,去创建一个
[1] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[2] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[3] R. Lambert. Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures , 1996 .
[4] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[5] F. Girosi,et al. Sparse Correlation Kernel Analysis and Reconstruction , 1998 .
[6] K. Jarrod Millman,et al. Learning Sparse Codes with a Mixture-of-Gaussians Prior , 1999, NIPS.
[7] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[8] R. Rosenfeld,et al. Two decades of statistical language modeling: where do we go from here? , 2000, Proceedings of the IEEE.
[9] Naoki Saito,et al. Sparsity vs. statistical independence from a best-basis viewpoint , 2000, SPIE Optics + Photonics.
[10] Aapo Hyvärinen,et al. A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images , 2001, Vision Research.
[11] D. Donoho. Sparse Components of Images and Optimal Atomic Decompositions , 2001 .
[12] Joseph F. Murray,et al. Dictionary Learning Algorithms for Sparse Representation , 2003, Neural Computation.
[13] Bruno A. Olshausen,et al. Principles of Image Representation in Visual Cortex , 2003 .
[14] Arthur E. C. Pece,et al. The Problem of Sparse Image Coding , 2002, Journal of Mathematical Imaging and Vision.