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EMNLP
2011
14 years 6 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
CVPR
2007
IEEE
16 years 8 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
ICASSP
2008
IEEE
16 years 1 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
APPML
2008
99views more  APPML 2008»
15 years 6 months ago
H2-optimal model reduction of MIMO systems
We consider the problem of approximating a p
Paul Van Dooren, Kyle A. Gallivan, Pierre-Antoine ...
TROB
2008
102views more  TROB 2008»
15 years 6 months ago
Experimentally Verified Optimal Serpentine Gait and Hyperredundancy of a Rigid-Link Snake Robot
In this study, we examine, for a six-link snake robot, how an optimal gait might change as a function of the snake
Vipul Mehta, Sean Brennan, Farhan Gandhi