369 search results - page 1 / 74 » Learning Message-Passing Inference Machines for Structured P... |
CVPR
2011
IEEE
13 years 14 days ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
BMCBI
2010
13 years 4 months ago
2010
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
JMLR
2012
11 years 6 months ago
2012
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...