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BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 10 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 7 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
PAMI
2006
146views more  PAMI 2006»
13 years 10 months ago
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
A visual search is required when applying a recognition process on a scene containing multiple objects. In such cases, we would like to avoid an exhaustive sequential search. This...
Tamar Avraham, Michael Lindenbaum
COR
2010
146views more  COR 2010»
13 years 10 months ago
A search space "cartography" for guiding graph coloring heuristics
We present a search space analysis and its application in improving local search algorithms for the graph coloring problem. Using a classical distance measure between colorings, w...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
ECCV
2008
Springer
14 years 12 months ago
Face Alignment Via Component-Based Discriminative Search
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
Lin Liang, Rong Xiao, Fang Wen, Jian Sun