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» Objective Functions for Feature Discrimination
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JAIR
2008
120views more  JAIR 2008»
15 years 2 months ago
MiniMaxSAT: An Efficient Weighted Max-SAT solver
In this paper we introduce MINIMAXSAT, a new Max-SAT solver that is built on top of MINISAT+. It incorporates the best current SAT and Max-SAT techniques. It can handle hard claus...
Federico Heras, Javier Larrosa, Albert Oliveras
152
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RECOMB
2005
Springer
16 years 3 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
121
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RTAS
2005
IEEE
15 years 8 months ago
Out-of-Norm Assertions
Abstract— The increasing use of electronics in transport systems, such as the automotive and avionic domain, has lead to dramatic improvements with respect to functionality, safe...
Philipp Peti, Roman Obermaisser, Hermann Kopetz
140
Voted
ESANN
2006
15 years 4 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
136
Voted
IVC
2006
187views more  IVC 2006»
15 years 2 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...