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» Regularized Learning with Networks of Features
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PPL
2008
75views more  PPL 2008»
14 years 11 months ago
Modeling the Performance of Communication Schemes on Network Topologies
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
Jan Lemeire, Erik F. Dirkx, Walter Colitti
83
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ICPR
2004
IEEE
16 years 26 days ago
Detection of Artificial Structures in Natural-Scene Images Using Dynamic Trees
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
Michael C. Nechyba, Sinisa Todorovic
TIT
2002
72views more  TIT 2002»
14 years 11 months ago
Principal curves with bounded turn
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...
S. Sandilya, Sanjeev R. Kulkarni
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
BVAI
2005
Springer
15 years 5 months ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...