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» Learning to Recognize Objects
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77
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NIPS
2000
14 years 11 months ago
Recognizing Hand-written Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a non-linear generative model of handwritten images of digits. The q...
Guy Mayraz, Geoffrey E. Hinton
72
Voted
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
15 years 4 months ago
Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning
— In this paper, we address the problem of automatic grasp generation for robotic hands where experience and shape primitives are used in synergy so to provide a basis not only f...
Staffan Ekvall, Danica Kragic
93
Voted
ECCV
2004
Springer
16 years 5 days ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
75
Voted
IROS
2008
IEEE
129views Robotics» more  IROS 2008»
15 years 4 months ago
Recognizing texture and hardness by touch
Abstract— We have experimented with different neural network based architectures for bio-inspired self-organizing texture and hardness perception systems. To this end we have dev...
Magnus Johnsson, Christian Balkenius
MLCW
2005
Springer
15 years 3 months ago
The 2005 PASCAL Visual Object Classes Challenge
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic s...
Mark Everingham, Andrew Zisserman, Christopher K. ...