572 search results - page 30 / 115 » Extended Input Space Support Vector Machine |
NIPS
2000
13 years 9 months ago
2000
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...
ACCV
2010
Springer
13 years 3 months ago
2010
Springer
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...
FPL
2000
Springer
13 years 11 months ago
2000
Springer
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...
EH
2003
IEEE
14 years 1 months ago
2003
IEEE
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 ...
CIRA
2007
IEEE
14 years 2 months ago
2007
IEEE
—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...