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ICML
2010
IEEE
15 years 5 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
101
Voted
ICPR
2008
IEEE
15 years 10 months ago
A Mixed Markov model for change detection in aerial photos with large time differences
In the paper we propose a novel multi-layer Mixed Markov model for detecting relevant changes in registered aerial images taken with significant time differences. The introduced ...
Csaba Benedek, Tamás Szirányi
AAAI
2007
15 years 6 months ago
Detection of Multiple Deformable Objects using PCA-SIFT
In this paper, we address the problem of identifying and localizing multiple instances of highly deformable objects in real-time video data. We present an approach which uses PCA-...
Stefan Zickler, Alexei A. Efros
MVA
1996
109views Computer Vision» more  MVA 1996»
15 years 5 months ago
Model Based Tracking on 3D Objects
In this paper, a new tracking algorithm, based on local minimum energy, is proposed for matching between a projected model and corresponding image features in real-time. The algor...
Zheng Li, Han Wang
DMIN
2009
185views Data Mining» more  DMIN 2009»
15 years 1 months ago
A Sparse Coding Based Similarity Measure
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
Sebastian Klenk, Gunther Heidemann