GeoF: Geodesic forests for learning coupled predictors

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 65-72

  Kontschieder, Peter ^a   Kohli, Pushmeet ^b   Shotton, Jamie ^b   Criminisi, Antonio ^b  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b MICROSOFT RESEARCH   (United Kingdom)

Author keywords

conditional random fields; context; Decision forests; Markov random fields; random forests

Indexed keywords

CONDITIONAL RANDOM FIELD; CONTEXT; DECISION FOREST; MARKOV RANDOM FIELDS; RANDOM FORESTS;

DECISION TREES; GEODESY; LEARNING ALGORITHMS; MARKOV PROCESSES; PATTERN RECOGNITION; PIXELS; RANDOM VARIABLES; SEMANTICS;

IMAGE SEGMENTATION;

EID: 84887370465     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.16     Document Type: Conference Paper

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