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139
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NIPS
2000
15 years 4 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
123
Voted
CGF
2008
101views more  CGF 2008»
15 years 2 months ago
Stereo Light Probe
In this paper we present a practical, simple and robust method to acquire the spatially-varying illumination of a real-world scene. The basic idea of the proposed method is to acq...
Massimiliano Corsini, Marco Callieri, Paolo Cignon...
103
Voted
ICPR
2000
IEEE
16 years 3 months ago
The Multimodal Signature Method: An Efficiency and Sensitivity Study
The multimodal neighbourhood signature (MNS) method has given acceptable results both for the colour-based image retrieval and the object recognition task. Local colour content is...
Dimitri Koubaroulis, Jiri Matas, Josef Kittler
ICRA
2005
IEEE
259views Robotics» more  ICRA 2005»
15 years 8 months ago
Flexible Microscope Calibration using Virtual Pattern for 3-D Telemicromanipulation
Abstract— In the context of virtualized reality based telemicromanipulation, we present in this paper a visual calibration technique for optical microscope coupled with a CCD cam...
Mehdi Ammi, Vincent Frémont, Antoine Ferrei...
ICRA
2002
IEEE
87views Robotics» more  ICRA 2002»
15 years 7 months ago
Visual Guided Grasping of Aggregates using Self-Valuing Learning
We present a self-valuing learning technique which is capable of learning how to grasp unfamiliar objects and generalize the learned abilities. The learning system consists of two...
Bernd Rössler, Jianwei Zhang, Alois Knoll