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CISS
2008
IEEE
14 years 2 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
SIGPRO
2010
141views more  SIGPRO 2010»
13 years 6 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
AAAI
2010
13 years 9 months ago
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
Georgios Theocharous, Sridhar Mahadevan
CIKM
2003
Springer
14 years 23 days ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
IJCNN
2007
IEEE
14 years 1 months ago
Range Data Approximation for Mobile Robot by Using CAN2
— In this article, we apply the competitive associative net called CAN2 to the processing of the range data of indoor environment acquired by a mobile robot, where the CAN2 is a ...
Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hi...