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» Non-negative sparse coding
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SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
14 years 14 days ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
ICPR
2010
IEEE
15 years 3 months ago
Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
Bernard Ghanem, Narendra Ahuja
ICS
1997
Tsinghua U.
15 years 1 months ago
Sparse Code Generation for Imperfectly Nested Loops with Dependences
Standard restructuring compiler tools are based on polyhedral algebra and cannot be used to analyze or restructure sparse matrix codes. We have recently shown that tools based on ...
Vladimir Kotlyar, Keshav Pingali
EMMCVPR
2005
Springer
15 years 3 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
MVA
2007
191views Computer Vision» more  MVA 2007»
14 years 9 months ago
Face recognition using localized features based on non-negative sparse coding
Neural networks in the visual system may be performing sparse coding of learnt local features that are qualitatively
Bhavin J. Shastri, Martin D. Levine