Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
暂无分享,去创建一个
[1] Eero P. Simoncelli. Modeling the joint statistics of images in the wavelet domain , 1999, Optics & Photonics.
[2] D. G. Albrecht,et al. Spatial frequency selectivity of cells in macaque visual cortex , 1982, Vision Research.
[3] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[4] J. H. Hateren,et al. Independent component filters of natural images compared with simple cells in primary visual cortex , 1998 .
[5] M. A. Repucci,et al. Spatial Structure and Symmetry of Simple-Cell Receptive Fields in Macaque Primary Visual Cortex , 2002 .
[6] H Barlow,et al. Redundancy reduction revisited , 2001, Network.
[7] S. Laughlin,et al. The rate of information transfer at graded-potential synapses , 1996, Nature.
[8] Bruno A. Olshausen,et al. PROBABILISTIC FRAMEWORK FOR THE ADAPTATION AND COMPARISON OF IMAGE CODES , 1999 .
[9] Erkki Oja,et al. Independent Component Analysis , 2001 .
[10] Terrence J. Sejnowski,et al. Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes , 2003, Neural Computation.
[11] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[12] Joseph J. Atick,et al. What Does the Retina Know about Natural Scenes? , 1992, Neural Computation.
[13] Alexander Borst,et al. Information theory and neural coding , 1999, Nature Neuroscience.