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JMLR
2010
121views more  JMLR 2010»
13 years 3 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Data Modeling Strategies for Imbalanced Learning in Visual Search
In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples a...
Jelena Tesic, Apostol Natsev, Lexing Xie, John R. ...
JMM2
2006
111views more  JMM2 2006»
13 years 9 months ago
A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics
The aim of the presented system is simplification and speedup of the daily pathological examination routine. The system combines telepathology with computer-aided diagnostics algor...
Grigory Begelman, Michael Pechuk, Ehud Rivlin, Edm...
ISCIS
2009
Springer
14 years 3 months ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
AMFG
2003
IEEE
152views Biometrics» more  AMFG 2003»
14 years 2 months ago
Fully Automatic Upper Facial Action Recognition
This paper provides a new fully automatic framework to analyze facial action units, the fundamental building blocks of facial expression enumerated in Paul Ekman’s Facial Action...
Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard