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» Approximate Spectral Clustering.
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101
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BTW
2005
Springer
80views Database» more  BTW 2005»
15 years 6 months ago
Measuring the Quality of Approximated Clusterings
Abstract. Clustering has become an increasingly important task in modern application domains. In many areas, e.g. when clustering complex objects, in distributed clustering, or whe...
Hans-Peter Kriegel, Martin Pfeifle
86
Voted
ICCV
2005
IEEE
16 years 2 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
112
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Two microphone based direction of arrival estimation for multiple speech sources using spectral properties of speech
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech specific properties, namely sparsity in time-frequ...
Wenyi Zhang, Bhaskar D. Rao
85
Voted
SODA
2000
ACM
125views Algorithms» more  SODA 2000»
15 years 2 months ago
Approximation algorithms for projective clustering
We consider the following two instances of the projective clustering problem: Given a set
Pankaj K. Agarwal, Cecilia Magdalena Procopiuc
95
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PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 6 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu