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» Support vector machine learning for image retrieval
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ICML
2006
IEEE
14 years 8 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
CSL
2008
Springer
13 years 8 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
DAS
2004
Springer
14 years 1 months ago
An Integrated Approach for Automatic Semantic Structure Extraction in Document Images
In this paper we present an integrated approach for semantic structure extraction in document images. Document images are initially processed to extract both their layout and logic...
Margherita Berardi, Michele Lapi, Donato Malerba
CVPR
2009
IEEE
15 years 3 months ago
Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features
In an 2D echocardiogram exam, an ultrasound probe samples the heart with 2D slices. Changing the orientation and position on the probe changes the slice viewpoint, altering the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...
ICML
2004
IEEE
14 years 8 months ago
Distribution kernels based on moments of counts
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
Corinna Cortes, Mehryar Mohri