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IJCNN
2008
IEEE
16 years 29 days ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
ICAI
2004
15 years 8 months ago
Task Oriented Machine-Learning and Review
We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...
Pierre Abdelmalek, Howard E. Michel
KAIS
2006
229views more  KAIS 2006»
15 years 6 months ago
Call classification using recurrent neural networks, support vector machines and finite state automata
Our objective is spoken language classification for helpdesk call routing using a scanning understanding and intelligent system techniques. In particular, we examine simple recurre...
Sheila Garfield, Stefan Wermter
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 7 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia