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» Learning a Classification Model for Segmentation
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126
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CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
15 years 8 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
TMI
2010
201views more  TMI 2010»
15 years 24 days ago
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images
—This paper presents a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We describe and evaluat...
Amir Alush, Hayit Greenspan, Jacob Goldberger
107
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COGSCI
2002
99views more  COGSCI 2002»
15 years 2 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
GPEM
2008
128views more  GPEM 2008»
15 years 2 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
ACL
2010
14 years 12 months ago
Learning Lexicalized Reordering Models from Reordering Graphs
Lexicalized reordering models play a crucial role in phrase-based translation systems. They are usually learned from the word-aligned bilingual corpus by examining the reordering ...
Jinsong Su, Yang Liu, Yajuan Lü, Haitao Mi, Q...