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» Markov Random Field Models in Computer Vision
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ICIAR
2009
Springer
15 years 8 months ago
Detection of Linear Structures in Remote-Sensed Images
Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a gap between the require...
Rui Gao, Walter F. Bischof
ICML
2004
IEEE
15 years 7 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
IDA
2009
Springer
15 years 6 months ago
Image Source Separation Using Color Channel Dependencies
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
Koray Kayabol, Ercan E. Kuruoglu, Bülent Sank...
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ICML
2000
IEEE
15 years 6 months ago
Discriminative Reranking for Natural Language Parsing
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
Michael Collins
VMV
2008
165views Visualization» more  VMV 2008»
15 years 3 months ago
Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps
This work presents a real-time, data-parallel approach for global label assignment on regular grids. The labels are selected according to a Markov random field energy with a Potts...
Christopher Zach, David Gallup, Jan-Michael Frahm,...