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ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 5 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
CVPR
2009
IEEE
17 years 1 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
16 years 1 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee
SPIN
2010
Springer
15 years 5 months ago
An Automata-Based Symbolic Approach for Verifying Programs on Relaxed Memory Models
This paper addresses the problem of verifying programs for the relaxed memory models implemented in modern processors. Specifically, it considers the TSO (Total Store Order) relax...
Alexander Linden, Pierre Wolper
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
16 years 5 days ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos