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97
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PR
2007
137views more  PR 2007»
15 years 8 days ago
Boosted manifold principal angles for image set-based recognition
In this paper we address the problem of classifying vector sets. We motivate and introduce a novel method based on comparisons between corresponding vector subspaces. In particula...
Tae-Kyun Kim, Ognjen Arandjelovic, Roberto Cipolla
CVPR
2012
IEEE
13 years 3 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
DAGM
2005
Springer
15 years 6 months ago
Object Categorization and the Need for Many-to-Many Matching
Abstract. Object recognition systems have their roots in the AI community, and originally addressed the problem of object categorization. These early systems, however, were limited...
Sven J. Dickinson, Ali Shokoufandeh, Yakov Keselma...
CVPR
2003
IEEE
16 years 2 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
74
Voted
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
15 years 7 months ago
EigenNail for Finger Force Direction Recognition
Abstract— This paper presents a technique termed EigenNails to classify fingertip force during contact based on the coloration patterns in the fingernail and surrounding skin. ...
Yu Sun, John M. Hollerbach, Stephen A. Mascaro