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CVPR
2008
IEEE
14 years 10 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
OOPSLA
1989
Springer
14 years 17 days ago
Static Type Inference for Parametric Classes
Method inheritance and data abstraction are central features of objectoriented programming that are attained through a hierarchical organization of classes. Recent studies have sh...
Atsushi Ohori, Peter Buneman
ECCV
2008
Springer
14 years 10 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
DAC
1999
ACM
14 years 9 months ago
Constraint Driven Code Selection for Fixed-Point DSPs
Abstract? Fixed-point DSPs are a class of embedded processors with highly irregular architectures. This irregularity makes it difficult to generate high-quality machine code from p...
Steven Bashford, Rainer Leupers
EOR
2006
148views more  EOR 2006»
13 years 8 months ago
Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
Karl F. Doerner, Walter J. Gutjahr, Richard F. Har...