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» A Semi-Supervised Document Clustering Algorithm Based on EM
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CVPR
2010
IEEE
14 years 2 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
ACL
1997
13 years 8 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi
WEBI
2005
Springer
14 years 4 days ago
An EM Based Training Algorithm for Cross-Language Text Categorization
Due to the globalization on the Web, many companies and institutions need to efficiently organize and search repositories containing multilingual documents. The management of the...
Leonardo Rigutini, Marco Maggini, Bing Liu
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 22 days ago
Improving Speaker Diarization by Cross EM Refinement
In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational co...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
CEC
2008
IEEE
14 years 1 months ago
Correlation clustering based on genetic algorithm for documents clustering
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
Zhenya Zhang, Hongmei Cheng, Wanli Chen, Shuguang ...