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101
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CVPR
2010
IEEE
15 years 6 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan
122
Voted
CPM
2005
Springer
100views Combinatorics» more  CPM 2005»
15 years 2 months ago
Hardness of Optimal Spaced Seed Design
Abstract. Speeding up approximate pattern matching is a line of research in stringology since the 80’s. Practically fast approaches belong to the class of filtration algorithms,...
François Nicolas, Eric Rivals
114
Voted
PAMI
2008
145views more  PAMI 2008»
15 years 20 days ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
103
Voted
DAC
2011
ACM
14 years 16 days ago
Supervised design space exploration by compositional approximation of Pareto sets
Technology scaling allows the integration of billions of transistors on the same die but CAD tools struggle in keeping up with the increasing design complexity. Design productivit...
Hung-Yi Liu, Ilias Diakonikolas, Michele Petracca,...
93
Voted
ICML
2003
IEEE
16 years 1 months ago
Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
When the training instances of the target class are heavily outnumbered by non-target training instances, SVMs can be ineffective in determining the class boundary. To remedy this...
Gang Wu, Edward Y. Chang