Fuzzy weighted support vector regression for multiple linear model estimation: application to object tracking in image sequences
F Dufrenois, D Hamad - 2007 International Joint Conference on …, 2007 - ieeexplore.ieee.org
In this paper, we present a new support vector regression (SVR) based strategy for
simultaneously extracting multiple linear structures in a training data set. As in fuzzy c …
simultaneously extracting multiple linear structures in a training data set. As in fuzzy c …
Study and application of time series forecasting based on rough set and Kernel method
S Yang - Journal of Central South University of Technology, 2008 - Springer
A support vector machine time series forecasting model based on rough set data
preprocessing was proposed by combining rough set attribute reduction and support vector …
preprocessing was proposed by combining rough set attribute reduction and support vector …
Design methodology for configurable analog to digital conversion using support vector machines
V Girish, S Nooshabadi - Microelectronics journal, 2008 - Elsevier
We apply a support vector machine (SVM) classifier to the design of analog to digital
converters. Each output bit of the converter is the output of a binary classifier, which is a …
converters. Each output bit of the converter is the output of a binary classifier, which is a …