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» Regularized Learning with Networks of Features
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130
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ICPR
2000
IEEE
16 years 4 months ago
Visual Extraction of Motion-Based Information from Image Sequences
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...
137
Voted
CORR
2011
Springer
273views Education» more  CORR 2011»
14 years 10 months ago
Natural Language Processing (almost) from Scratch
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
Ronan Collobert, Jason Weston, Léon Bottou,...
154
Voted
HCW
1999
IEEE
15 years 7 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
UAI
2003
15 years 4 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel
ECCV
2010
Springer
15 years 8 months ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...