1364 search results - page 14 / 273 » Sampling Methods for Unsupervised Learning |
99
Voted
CVPR
2007
IEEE
15 years 2 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
103
Voted
FGR
2004
IEEE
15 years 2 months ago
2004
IEEE
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
GECCO
2008
Springer
14 years 12 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
95
Voted
ACL
2010
14 years 9 months ago
2010
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
69
Voted
IDA
2005
Springer
15 years 4 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...