235 search results - page 11 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
110
click to vote
CVPR
2003
IEEE
16 years 1 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...
100
Voted
SDM
2004
SIAM
15 years 1 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...
101
click to vote
NIPS
2008
15 years 1 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...
105
Voted
ICML
2009
IEEE
16 years 14 days 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
15 years 5 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...