514 search results - page 1 / 103 » Interval discriminant analysis using support vector machines |
ESANN
2007
13 years 5 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
TNN
2008
13 years 4 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...