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ECCV
2004
Springer
14 years 11 months ago
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Ch...
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
14 years 10 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
ICALP
2009
Springer
14 years 10 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
VLDB
2007
ACM
93views Database» more  VLDB 2007»
14 years 3 months ago
Seeking Stable Clusters in the Blogosphere
The popularity of blogs has been increasing dramatically over the last couple of years. As topics evolve in the blogosphere, keywords align together and form the heart of various ...
Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. ...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 10 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...