1775 search results - page 57 / 355 » Learning Spectral Clustering |
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
Digital compensation of nonlinear systems is an important topic in many practical applications. This paper considers the problem of predistortion of nonlinear systems described us...
104
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NIPS
2008
14 years 11 months ago
2008
Semantic hashing[1] seeks compact binary codes of data-points so that the Hamming distance between codewords correlates with semantic similarity. In this paper, we show that the p...
108
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
FLAIRS
2008
15 years 4 days ago
2008
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
101
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AAAI
2010
14 years 11 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...