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IJCNN
2007
IEEE
13 years 11 months ago
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications
— We present here a hardware–friendly version of the Support Vector Machine (SVM), which is useful to implement its feed–forward phase on limited–resources devices such as ...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
IJCNN
2008
IEEE
13 years 11 months ago
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications
— In this work we show that a metaheuristic, the Variable Neighborhood Search (VNS), can be effectively used in order to improve the performance of the hardware–friendly versio...
Enrique Alba, Davide Anguita, Alessandro Ghio, San...
ISBI
2008
IEEE
14 years 5 months ago
Support vector machine for data on manifolds: An application to image analysis
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...
JCP
2007
154views more  JCP 2007»
13 years 4 months ago
Partially Reconfigurable Vector Processor for Embedded Applications
—Embedded systems normally involve a combination of hardware and software resources designed to perform dedicated tasks. Such systems have widely crept into industrial control, a...
Muhammad Z. Hasan, Sotirios G. Ziavras
NIPS
2001
13 years 6 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...