1364 search results - page 71 / 273 » Sampling Methods for Unsupervised Learning |
131
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NIPS
2008
15 years 3 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
142
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Hashing based Approximate Nearest Neighbor (ANN) search has attracted much attention due to its fast query time and drastically reduced storage. However, most of the hashing metho...
107
Voted
ML
2010
ACM
15 years 28 days ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
163
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CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
114
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FGR
2008
IEEE
15 years 9 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...