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» Dynamics of Learning Near Singularities in Layered Networks
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NECO
2008
59views more  NECO 2008»
13 years 4 months ago
Dynamics of Learning Near Singularities in Layered Networks
Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Oz...
FOCI
2007
IEEE
13 years 11 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
NIPS
1997
13 years 6 months ago
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report
Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...
Thomas K. Landauer, Darrell Laham, Peter W. Foltz
ICIP
2005
IEEE
14 years 6 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
BC
2002
193views more  BC 2002»
13 years 4 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon