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» Learning semantic object parts for object categorization
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LICS
2012
IEEE
11 years 9 months ago
Step Indexed Realizability Semantics for a Call-by-Value Language Based on Basic Combinatorial Objects
—We propose a mathematical framework for step indexed realizability semantics of a call-by-value polymorphic lambda calculus with recursion, existential types and recursive types...
Naohiko Hoshino
ICANN
2007
Springer
14 years 1 months ago
A Comparison of Features in Parts-Based Object Recognition Hierarchies
Parts-based recognition has been suggested for generalizing from few training views in categorization scenarios. In this paper we present the results of a comparative investigation...
Stephan Hasler, Heiko Wersing, Edgar Körner
AAAI
2008
13 years 9 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian
CVPR
2009
IEEE
15 years 2 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese