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» On the Learnability of Vector Spaces
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COLT
2005
Springer
15 years 3 months ago
Leaving the Span
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
Manfred K. Warmuth, S. V. N. Vishwanathan
LREC
2008
117views Education» more  LREC 2008»
14 years 11 months ago
Evolutionary Basic Notions for a Thematic Representation of General Knowledge
In the field of Natural Language Processing, in order to work out a thematic representation system of general knowledge, methods relying on thesaurus have been used for about twen...
Alain Joubert, Mathieu Lafourcade
CVPR
2001
IEEE
15 years 12 months ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
ICCV
2005
IEEE
15 years 11 months ago
Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations
This paper proposes a method to match diffusion tensor magnetic resonance images (DT-MRI) through the large deformation diffeomorphic metric mapping of vector fields, focusing on ...
Yan Cao, Michael I. Miller, Raimond L. Winslow, La...
ICRA
1998
IEEE
154views Robotics» more  ICRA 1998»
15 years 2 months ago
Environmental Complexity Control for Vision-Based Learning Mobile Robot
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
Eiji Uchibe, Minoru Asada, Koh Hosoda