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» Learning Models for Object Recognition
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140
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ICCV
1995
IEEE
15 years 7 months ago
Recognizing 3D Objects Using Photometric Invariant
In this paper we describe a new e cient algorithm for recognizing 3D objects by combining photometric and geometric invariants. Some photometric properties are derived, that are i...
Kenji Nagao
144
Voted
SSPR
1998
Springer
15 years 7 months ago
Semantic Content Based Image Retrieval Using Object-Process Diagrams
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...
Dov Dori, Hagit Zabrodsky Hel-Or
154
Voted

Publication
922views
16 years 10 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
NIPS
2001
15 years 4 months ago
Thin Junction Trees
We present an algorithm that induces a class of models with thin junction trees--models that are characterized by an upper bound on the size of the maximal cliques of their triang...
Francis R. Bach, Michael I. Jordan
152
Voted
CVPR
2009
IEEE
16 years 10 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...