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143
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
114
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ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
A split-and-merge framework based on a maximum variance criterion is proposed for disparity clustering. The proposed algorithm transforms low-level stereo disparity information to...
121
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IJCAI
2007
15 years 5 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
133
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ICDIM
2007
IEEE
15 years 10 months ago
2007
IEEE
: Some measures such as average precision over all relevant documents and recall level precision are considered as good system-oriented measures, because they concern both precisio...
106
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CDC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— In this paper we consider the problem of constructing a distributed feedback law to achieve synchronization for a group of k agents whose states evolve on SO(n) and whi...