36 search results - page 1 / 8 » Triplet Markov Fields for the Classification of Complex Stru... |
PAMI
2008
13 years 4 months ago
2008
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...