235 search results - page 11 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
NIPS
2008
13 years 10 months ago
2008
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
MM
2005
ACM
14 years 2 months ago
2005
ACM
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...