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ICDAR
2007
IEEE
14 years 3 months ago
Hybrid Mathematical Symbol Recognition Using Support Vector Machines
Recognition of mathematical symbols is a challenging task, with a large set with many similar symbols. We present a support vector machine based hybrid recognition system that use...
Birendra Keshari, Stephen M. Watt
ISBI
2006
IEEE
14 years 3 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
CIE
2005
Springer
14 years 2 months ago
The Transfinite Action of 1 Tape Turing Machines
• We produce a classification of the pointclasses of sets of reals produced by infinite time turing machines with 1-tape. The reason for choosing this formalism is that it appa...
Philip D. Welch
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
14 years 2 months ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville
ICANN
2001
Springer
14 years 1 months ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue