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ICML
2010
IEEE
13 years 6 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
CVPR
2008
IEEE
13 years 5 months ago
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
Duc-Son Pham, Svetha Venkatesh
IR
2008
13 years 5 months ago
A compressed self-index using a Ziv-Lempel dictionary
A compressed full-text self-index for a text T , of size u, is a data structure used to search for patterns P, of size m, in T , that requires reduced space, i.e. space that depend...
Luís M. S. Russo, Arlindo L. Oliveira
SODA
2010
ACM
196views Algorithms» more  SODA 2010»
14 years 3 months ago
Deletion Without Rebalancing in Balanced Binary Trees
We address the vexing issue of deletions in balanced trees. Rebalancing after a deletion is generally more complicated than rebalancing after an insertion. Textbooks neglect delet...
Siddhartha Sen, Robert E. Tarjan
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
13 years 9 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes