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122
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APWEB
2010
Springer
15 years 23 days ago
Multi-View Clustering with Web and Linguistic Features for Relation Extraction
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Webbased methods and Linguistic-based methods are two types of leading me...
Yulan Yan, Haibo Li, Yutaka Matsuo, Zhenglu Yang, ...
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
15 years 6 months 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...
112
Voted
CVPR
2004
IEEE
16 years 2 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
114
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KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 1 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
84
Voted
ICPR
2008
IEEE
16 years 1 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...