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ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
14 years 2 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
ICDAR
2011
IEEE
12 years 8 months ago
Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
David Hebert, Thierry Paquet, Stéphane Nico...
CAIP
1997
Springer
161views Image Analysis» more  CAIP 1997»
14 years 1 months ago
A Framework for Feature-Based Motion Recovery in Ground Plane Vehicle Navigation
This paper describes a feature point matching strategy and motion recovery applied to vehicle navigation. A transformation of the image plane is used that keeps the motion of the v...
José M. Sanchiz, Filiberto Pla, John A. Mar...
BMCBI
2006
142views more  BMCBI 2006»
13 years 9 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins