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» Learning to Recognize Objects
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SCIA
2005
Springer
174views Image Analysis» more  SCIA 2005»
15 years 9 months ago
Object Localization with Boosting and Weak Supervision for Generic Object Recognition
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...
Andreas Opelt, Axel Pinz
169
Voted
CVPR
2012
IEEE
13 years 6 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
158
Voted
WWW
2011
ACM
14 years 10 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
VL
2003
IEEE
151views Visual Languages» more  VL 2003»
15 years 9 months ago
JAN -Java animation for program understanding
JAN is a system for animated execution of Java programs. Its application area is program understanding rather than debugging. To this end, the animation can be customized, both by...
Klaus-Peter Löhr, André Vratislavsky
139
Voted
MVA
1990
137views Computer Vision» more  MVA 1990»
15 years 5 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...