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» Learning semantic object parts for object categorization
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CVPR
2007
IEEE
15 years 11 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
15 years 1 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
15 years 1 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
14 years 11 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
14 years 7 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