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Author Sahbi, Hichem ♦ Fleuret, François
Source Hyper Articles en Ligne (HAL)
Content type Text
File Format PDF
Language English
Subject Keyword SHAPE DESCRIPTION ♦ FACE DETECTION AND RECOGNITION ♦ STATISTICAL LEARNING ♦ KERNEL METHODS ♦ SCALE-INVARIANCE ♦ TRIANGULAR KERNEL ♦ info ♦ Computer Science [cs]/Other [cs.OH]
Abstract We focus in this paper on the scale invariance of kernel methods using a particular function referred to as the triangular kernel. The study in (Sahbi and Fleuret, 2002) reported scale invariance for support vector machines (SVM) and the current work is an extension for support vector regression (SVR) and kernel principal component analysis (KPCA). First, we review these kernel methods and we illustrate analytically the scale invariance of the training processes. Experiments are conducted in several cases showing the scale invariance and the good performance in real pattern recognition problems including shape description, face detection and recognition.
Educational Use Research
Learning Resource Type Report ♦ Article
Publisher Date 2004-01-01
Publisher Institution INRIA