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» Dynamic Time-Alignment Kernel in Support Vector Machine
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DAGM
2004
Springer
15 years 2 months ago
Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...
Matthias Rätsch, Sami Romdhani, Thomas Vetter
71
Voted
NPL
2002
103views more  NPL 2002»
14 years 10 months ago
Kernel Nearest Neighbor Algorithm
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
Kai Yu, Liang Ji, Xuegong Zhang
TIP
2008
128views more  TIP 2008»
14 years 10 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
77
Voted
JMLR
2010
115views more  JMLR 2010»
14 years 5 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
IWBRS
2005
Springer
145views Biometrics» more  IWBRS 2005»
15 years 3 months ago
Face Authentication Using One-Class Support Vector Machines
Abstract. This paper proposes a new method for personal identity verification based the analysis of face images applying One Class Support Vector Machines. This is a recently intr...
Manuele Bicego, Enrico Grosso, Massimo Tistarelli