1016 search results - page 6 / 204 » A Generative Discriminative Learning Algorithm for Image Cla... |
PRL
2011
13 years 2 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
CLOR
2006
13 years 11 months ago
2006
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
TSP
2010
13 years 2 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...