Filename | Size | Date |
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信号与图像的稀疏分解及初步应用 |
..............................\第六章 |
..............................\......\06kz0628.pdf |
..............................\......\0702284 |
..............................\......\0702284v1.pdf |
..............................\......\0702284v1.td |
..............................\......\0702284v1.td.cfg |
..............................\......\215.pdf |
..............................\......\23090462.pdf |
..............................\......\A Posteriori Quantization of Progressive Matching Pursuit Streams(1).pdf |
..............................\......\A Posteriori Quantization of Progressive Matching Pursuit Streams.pdf |
..............................\......\Analysis of multimodal signals using redundant representations.pdf |
..............................\......\ATOMIC DECOMPOSITION BY BASIS PURSUIT.pdf |
..............................\......\davis94adaptive(1).pdf |
..............................\......\davis94adaptive.pdf |
..............................\......\EFFICIENT IMAGE REPRESENTATION BY ANISOTROPIC REFINEMENT IN MATCHING PURSUIT..pdf |
..............................\......\EFFICIENT IMAGE REPRESENTATION BY ANISOTROPIC REFINEMENT IN MATCHING PURSUIT.pdf |
..............................\......\Entropy-Based Algorithms for Best Basis Selection.pdf |
..............................\......\Fast sparse subband decomposition using FIRSP .pdf |
..............................\......\Geometric methods for wavelet-based image compression.pdf |
..............................\......\HDRmanuscrit.pdf |
..............................\......\Hierarchy and adaptivity in segmenting visual scenes .pdf |
..............................\......\How are complex cell properties adapted to the statistics of natural stimuli_.pdf |
..............................\......\IEEESubmission4.pdf |
..............................\......\Image compression using an edge adapted redundant dictionary and wavelets.pdf |
..............................\......\Image Compression With Geometrical Wavelets (2000) .pdf |
..............................\......\Image Denoising Via Learned Dictionaries and Sparse representation.pdf |
..............................\......\implicit-image-models-in.pdf |
..............................\......\Invariant visual representation by single neurons in the human brain .pdf |
..............................\......\lang95nonlinear.pdf |
..............................\......\Learning Overcomplete Representations 2000-3548.pdf |
..............................\......\Localization operators and exponential weights for modulation spaces.pdf |
..............................\......\Localization Operators via Time-Frequency Analysis.pdf |
..............................\......\Low rate and flexible image coding with redundant representations.pdf |
..............................\......\mallat93matching.pdf |
..............................\......\Mathematical Modeling and Analysis.pdf |
..............................\......\Models of object recognition.pdf |
..............................\......\Morphological Component Analysis_ an Adaptive Thresholding Strategy.pdf |
..............................\......\Morphological Diversity and Source Separation.pdf |
..............................\......\Natural image statistics and efficient coding.pdf |
..............................\......\On the use of a priori information for sparse signal approximations.pdf |
..............................\......\On the Use of A Priori Information for Sparse Signal Representations.pdf |
..............................\......\Peotta2003_45.pdf |
..............................\......\Sparse Coding with an Overcomplete Basis Set_ A Strategy Employed by V1_.pdf |
..............................\......\Sparse decomposition over multi-component redundant dictionaries.pdf |
..............................\......\Sparse Low-degree Implicit Surfaces with Applications to High Quality Rendering | Feature Extraction | and Smoothing .pdf |
..............................\......\Sparse representation for coarse and fine object recognition.ppt |
..............................\......\spieLogin.jsp |
..............................\......\Stable |