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» Learning Models for Object Recognition
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CVPR
2007
IEEE
15 years 6 days ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
ICPR
2002
IEEE
14 years 11 months ago
Object Recognition Supported by User Interaction for Service Robots
This paper describes an interactive vision system for a robot that finds an object specified by a user and brings it to the user. The system first registers object models automati...
Yasushi Makihara, Masao Takizawa, Yoshiaki Shirai,...
MVA
1990
137views Computer Vision» more  MVA 1990»
13 years 11 months ago
Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data
Modeling and recognition of 3D objects by surface is an important problem in machine vision. Given a large number of range data points of an object surface, we present a relaxatio...
Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwa...
ICASSP
2010
IEEE
13 years 10 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
EXPERT
2010
145views more  EXPERT 2010»
13 years 7 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni