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ICDAR
2007
IEEE
15 years 4 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
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
14 years 9 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert
INCDM
2010
Springer
308views Data Mining» more  INCDM 2010»
14 years 11 months ago
Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs),...
Paulo Cortez
IWCMC
2006
ACM
15 years 3 months ago
Wireless symbolic positioning using support vector machines
This paper introduces a novel symbolic positioning system based on wireless access points and Support Vector Machines. The system works both indoors and outdoors and is cost-effec...
C. Philipp Schloter, Hamid K. Aghajan
IWANN
2005
Springer
15 years 3 months ago
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moo...