86 search results - page 2 / 18 » Generative and Discriminative Learning with Unknown Labeling... |
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
AAAI
2006
13 years 6 months ago
2006
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...