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» Extended Input Space Support Vector Machine
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NIPS
2000
15 years 5 months ago
The Kernel Trick for Distances
A method is described which, like the kernel trick in support vector machines (SVMs), lets us generalize distance-based algorithms to operate in feature spaces, usually nonlinearl...
Bernhard Schölkopf
ACCV
2010
Springer
14 years 11 months ago
Efficient Structured Support Vector Regression
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
Ke Jia, Lei Wang, Nianjun Liu
FPL
2000
Springer
155views Hardware» more  FPL 2000»
15 years 8 months ago
Synthesis and Implementation of RAM-Based Finite State Machines in FPGAs
This paper discusses the design and implementation of finite state machines (FSM) with combinational circuits that are built primarily from RAM blocks. It suggests a novel state as...
Valery Sklyarov
EH
2003
IEEE
84views Hardware» more  EH 2003»
15 years 9 months ago
Evolved Reversible Cascades Realized on the CAM-Brain Machine
This paper presents a new approach to reversible cascade evolution based on a 3D cellular automaton. As a research platform we used the ATR’s CAMBrain Machine (CBM). Reversible ...
Andrzej Buller, Marek A. Perkowski
CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
15 years 10 months ago
Local Online Support Vector Regression for Learning Control
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
Younggeun Choi, Shin-Young Cheong, Nicolas Schweig...