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118
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ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Typical gene expression clustering algorithms are restricted to a specific underlying pattern model while overlooking the possibility that other information carrying patterns may ...
162
Voted
TIP
2002
15 years 3 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
143
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NAACL
2010
15 years 1 months ago
2010
We propose the first unsupervised approach to the problem of modeling dialogue acts in an open domain. Trained on a corpus of noisy Twitter conversations, our method discovers dia...
123
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
121
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ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...