59 search results - page 5 / 12 » A Bayesian Hierarchical Model for Learning Natural Scene Cat... |
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
IJCV
2008
13 years 8 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
CVPR
2003
IEEE
14 years 10 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...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...