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DIS
2005
Springer
13 years 10 months ago
Active Constrained Clustering by Examining Spectral Eigenvectors
Abstract. This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examini...
Qianjun Xu, Marie desJardins, Kiri Wagstaff
ICCV
2005
IEEE
14 years 7 months ago
A Spectral Technique for Correspondence Problems Using Pairwise Constraints
We present an efficient spectral method for finding consistent correspondences between two sets of features. We build the adjacency matrix M of a graph whose nodes represent the p...
Marius Leordeanu, Martial Hebert
CVPR
2009
IEEE
15 years 12 days ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
WEBI
2007
Springer
13 years 11 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
BMCBI
2010
136views more  BMCBI 2010»
13 years 5 months ago
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale
Background: An important problem in genomics is the automatic inference of groups of homologous proteins from pairwise sequence similarities. Several approaches have been proposed...
Tamás Nepusz, Rajkumar Sasidharan, Alberto ...