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PPSN
2010
Springer
14 years 11 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
CVPR
2008
IEEE
16 years 3 months ago
Unsupervised feature selection via distributed coding for multi-view object recognition
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
Chris Mario Christoudias, Raquel Urtasun, Trevor D...

Publication
210views
15 years 9 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
Gemma Roig, Xavier Boix, Fernando De la Torre
ICANN
2007
Springer
15 years 5 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
COGSCI
2010
107views more  COGSCI 2010»
15 years 2 months ago
Feature Selection for Inductive Generalization
Judging similarities among objects, events, and experiences is one of the most basic cognitive abilities, allowing us to make predictions and generalizations. The main assumption ...
Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-...