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» Feature selection for ordinal regression
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ICPR
2006
IEEE
14 years 9 months ago
Classifiers for Motion
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...
Mithun Das Gupta, Nemanja Petrovic, ShyamSundar Ra...
IJCNN
2000
IEEE
14 years 8 days ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 2 months ago
An evolutionary approach to constructive induction for link discovery
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
Tim Weninger, William H. Hsu, Jing Xia, Waleed Alj...
TOG
2012
193views Communications» more  TOG 2012»
11 years 10 months ago
Schelling points on 3D surface meshes
This paper investigates “Schelling points” on 3D meshes, feature points selected by people in a pure coordination game due to their salience. To collect data for this investig...
Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas ...
INTERSPEECH
2010
13 years 2 months ago
The INTERSPEECH 2010 paralinguistic challenge
Most paralinguistic analysis tasks are lacking agreed-upon evaluation procedures and comparability, in contrast to more `traditional' disciplines in speech analysis. The INTE...
Björn Schuller, Stefan Steidl, Anton Batliner...