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154
Voted
EMNLP
2008
15 years 3 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
127
Voted
CORR
2010
Springer
15 years 23 days ago
2010
Springer
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
117
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CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
128
Voted
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
155
Voted
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...