1575 search results - page 24 / 315 » Unsupervised Learning of Models for Recognition |
NIPS
2008
14 years 11 months ago
2008
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
133
Voted
CVPR
2012
IEEE
13 years 2 days ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
79
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
NIPS
2004
14 years 11 months ago
2004
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is h...