3721 search results - page 135 / 745 » Discriminative cluster analysis |
157
Voted
ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
165
Voted
MMM
2012
Springer
13 years 11 months ago
2012
Springer
Abstract. Can we discover audio-visually consistent events from videos in a totally unsupervised manner? And, how to mine videos with different genres? In this paper we present our...
136
Voted
CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
128
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
120
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...