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ICML
2010
IEEE
15 years 7 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
PAMI
2012
13 years 9 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
FORMATS
2007
Springer
16 years 21 days ago
Hypervolume Approximation in Timed Automata Model Checking
Dierence Bound Matrices (DBMs) are the most commonly used data structure for model checking timed automata. Since long they are being used in successful tools like Kronos or UPPAA...
Víctor A. Braberman, Jorge Lucángeli...
COOPIS
2004
IEEE
15 years 10 months ago
Supporting Similarity Operations Based on Approximate String Matching on the Web
Querying and integrating sources of structured data from the Web in most cases requires similarity-based concepts to deal with data level conflicts. This is due to the often errone...
Eike Schallehn, Ingolf Geist, Kai-Uwe Sattler
CVPR
2008
IEEE
16 years 8 months ago
(BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
Ifeoma Nwogu, Jason J. Corso