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» Learning to Classify X-Ray Images Using Relational Learning
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152
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CIBCB
2009
IEEE
15 years 3 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
103
Voted
MM
2005
ACM
139views Multimedia» more  MM 2005»
15 years 8 months ago
Multimodal affect recognition in learning environments
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...
Ashish Kapoor, Rosalind W. Picard
132
Voted
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Manifold learning, a promised land or work in progress?
ABSTRACT In this paper, we report our experiments using a realworld image dataset to examine the effectiveness of Isomap, LLE and KPCA. The 1,897-image dataset we used consists of ...
Mei-Chen Yeh, I-Hsiang Lee, Gang Wu, Yi Wu, Edward...
138
Voted
ICVGIP
2004
15 years 4 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
108
Voted
AAAI
1998
15 years 4 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans