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» Query segmentation using conditional random fields
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COLT
1992
Springer
15 years 1 months ago
Learning Switching Concepts
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
Avrim Blum, Prasad Chalasani
CVPR
2006
IEEE
15 years 11 months ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon
ICIP
2006
IEEE
15 years 11 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
TMM
2002
104views more  TMM 2002»
14 years 9 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
75
Voted
JOCN
2010
85views more  JOCN 2010»
14 years 4 months ago
Defining the Units of Competition: Influences of Perceptual Organization on Competitive Interactions in Human Visual Cortex
Multiple stimuli that are present simultaneously in the visual field compete for neural representation. At the same time, however, multiple stimuli in cluttered scenes also underg...
Stephanie A. McMains, Sabine Kastner