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» The Dark Side of Object Learning: Learning Objects
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ICML
2005
IEEE
16 years 1 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
ICASSP
2010
IEEE
15 years 25 days ago
Multi-View Object Detection by Classifier Interpolation
In this paper, we propose a novel solution for multi-view object detection. Given a set of training examples at different views, we select examples at a few key views and train on...
Xiaobai Liu, Haifeng Gong, Shuicheng Yan, Hai Jin
IVC
2008
182views more  IVC 2008»
15 years 19 days ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
160
Voted

Book
323views
16 years 10 months ago
Adaptive Object-Oriented Software: a PWS book
"This book introduces a software development method, called the Demeter Method, for developing adaptive object-oriented software. The reader will learn the Demeter Method for...
Karl J. Lieberherr
91
Voted
ICML
2008
IEEE
16 years 1 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...