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ICASSP
2011
IEEE
12 years 8 months ago
Effective background data selection in SVM speaker recognition for unseen test environment: More is not always better
This study focuses on determining a procedure to select effective negative examples for development of improved Support Vector Machine (SVM) based speaker recognition. Selection o...
Jun-Won Suh, Yun Lei, Wooil Kim, John H. L. Hansen
JMLR
2010
104views more  JMLR 2010»
12 years 11 months ago
How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
David Baehrens, Timon Schroeter, Stefan Harmeling,...
ACL
1998
13 years 6 months ago
Growing Semantic Grammars
A critical path in the development of natural language understanding NLU modules lies in the di culty of de ning a mapping from words to semantics: Usually it takes in the order o...
Marsal Gavaldà, Alex Waibel
AUSDM
2006
Springer
82views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Generality Is Predictive of Prediction Accuracy
During knowledge acquisition multiple alternative potential rules all appear equally credible. This paper addresses the dearth of formal analysis about how to select between such a...
Geoffrey I. Webb, Damien Brain
ECCV
2008
Springer
14 years 6 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher