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» On-line support vector machines and optimization strategies
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121
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ICML
2003
IEEE
16 years 1 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims
LREC
2008
122views Education» more  LREC 2008»
15 years 2 months ago
Authorship Identification of Romanian Texts with Controversial Paternity
In this work we propose a new strategy for the authorship identification problem and we test it on an example from Romanian literature: did Radu Albala found the continuation of M...
Liviu Dinu, Marius Popescu, Anca Dinu
ICDAR
2005
IEEE
15 years 6 months ago
Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach
– This paper describes a new approach to recognize touching numeral strings. Currently most methods for numeral string recognition require segmenting the string image into separa...
Jie Zhou, Ching Y. Suen
111
Voted
CMIG
2010
110views more  CMIG 2010»
14 years 7 months ago
Unsupervised SVM-based gridding for DNA microarray images
This paper presents a novel method for unsupervised DNA microarray gridding based on Support Vector Machines (SVMs). Each spot is a small region on the microarray surface where cha...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa