1775 search results - page 190 / 355 » Learning Spectral Clustering |
138
Voted
NIPS
2008
15 years 3 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
126
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AI
2007
Springer
15 years 2 months ago
2007
Springer
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
126
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PAMI
2008
15 years 1 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
124
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
124
Voted
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...