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» Learning semantic object parts for object categorization
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PRL
2007
155views more  PRL 2007»
13 years 6 months ago
Integrated patch model: A generative model for image categorization based on feature selection
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feng Xu, Yu-Jin Zhang
ECCV
2010
Springer
13 years 10 months ago
Contour Grouping and Abstraction using Simple Part Models
Grouping and Abstraction Using Simple Part Models Pablo Sala and Sven Dickinson Department of Computer Science, University of Toronto, Toronto ON, Canada We address the problem of ...
ICCV
2011
IEEE
12 years 7 months ago
Multiclass Recognition and Part Localization with Humans in the Loop
We propose a visual recognition system that is designed for fine-grained visual categorization. The system is composed of a machine and a human user. The user, who is unable to c...
Catherine Wah, Steven Branson, Pietro Perona, Serg...
ICONIP
2008
13 years 8 months ago
An Integrated System for Incremental Learning of Multiple Visual Categories
Abstract. We present a biologically inspired vision system able to incrementally learn multiple visual categories by interactively presenting several hand-held objects. The overall...
Stephan Kirstein, Heiko Wersing, Horst-Michael Gro...
CTCS
1995
Springer
13 years 11 months ago
A Proposed Categorical Semantics for ML Modules
We present a simple categorical semantics for ML signatures, structures and functors. Our approach relies on realizablity semantics in the category of assemblies. Signatures and s...
Michael P. Fourman, Hayo Thielecke