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» Typing References by Effect Inference
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91
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CVPR
2007
IEEE
15 years 11 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
59
Voted
IUI
2004
ACM
15 years 3 months ago
Ontology modeling tool with concept dictionary
The usefulness of ontology is strongly dependent on the knowledge representation policy and its maintenance. The subject of knowledge representation and modeling tool has been one...
Yoichi Hiramatsu, Seiji Koide
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
14 years 7 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
CVPR
2011
IEEE
14 years 5 months ago
Global Stereo Matching Leveraged by Sparse Ground Control Points
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
Liang Wang, Ruigang Yang
IJCV
2010
574views more  IJCV 2010»
14 years 8 months ago
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
We propose a novel approach to understanding activities from their partial observations monitored through multiple non-overlapping cameras separated by unknown time gaps. In our...
Chen Change Loy, Tao Xiang, Shaogang Gong