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» The Dark Side of Object Learning: Learning Objects
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ICML
2005
IEEE
14 years 9 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
13 years 9 months 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»
13 years 9 months 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

Book
323views
15 years 7 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
ICML
2008
IEEE
14 years 9 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...