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» Learning semantic object parts for object categorization
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CVPR
2007
IEEE
14 years 9 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
ATAL
2006
Springer
13 years 11 months ago
Formalizing typicality of objects and context-sensitivity in ontologies
In multiagent systems ontologies are essential because they facilitate tasks like communications and reasoning. In this paper, inspired by studies in cognitive psychology, we pres...
Ching-man Au Yeung, Ho-fung Leung
ACIVS
2006
Springer
13 years 11 months ago
Constrained Region-Growing and Edge Enhancement Towards Automated Semantic Video Object Segmentation
Most existing object segmentation algorithms suffer from a so-called under-segmentation problem, where parts of the segmented object are missing and holes often occur inside the ob...
L. Gao, J. Jiang, S. Y. Yang
ECCV
2008
Springer
13 years 9 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
ICWSM
2009
13 years 5 months ago
A Categorical Model for Discovering Latent Structure in Social Annotations
The advent of social tagging systems has enabled a new community-based view of the Web in which objects like images, videos, and Web pages are annotated by thousands of users. Und...
Said Kashoob, James Caverlee, Ying Ding