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CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 11 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
WACV
2002
IEEE
15 years 11 months ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
VIP
2003
15 years 7 months ago
Face and Body Gesture Recognition for a Vision-Based Multimodal Analyzer
For the computer to interact intelligently with human users, computers should be able to recognize emotions, by analyzing the human’s affective state, physiology and behavior. I...
Hatice Gunes, Massimo Piccardi, Tony Jan
MVA
2000
155views Computer Vision» more  MVA 2000»
15 years 7 months ago
Virtual Subspace Method for Robust Face Recognition Independent of Lighting Conditions
A concept of virtual subspace is introduced for realizing a robust face recognition independent of the lighting conditions. The virtual subspace is a paradoxical concept because i...
Takeshi Shakunaga, Nobumasa Yamamoto
ICIP
2009
IEEE
15 years 4 months ago
Learning weighted similarity measurements for unconstrained face recognition
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
Andre Störmer, Gerhard Rigoll