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ICONIP
2009
13 years 10 months ago
Gender Classification Based on Support Vector Machine with Automatic Confidence
In this paper, we propose a support vector machine with automatic confidence (SVMAC) for gender classification based on facial images. Namely, we explore how to incorporate confide...
Zheng Ji, Bao-Liang Lu
PAA
2002
14 years 3 days ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
PR
2006
127views more  PR 2006»
14 years 11 days ago
On solving the face recognition problem with one training sample per subject
The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key te...
Jie Wang, Kostas N. Plataniotis, Juwei Lu, Anastas...
PR
2006
113views more  PR 2006»
14 years 11 days ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
DICTA
2003
14 years 1 months ago
Separating a Colour Texture from an Arbitrary Background
Partially supervised segmentation, that is, segmentation with always incomplete training data has many practical applications in image analysis and retrieval. This paper proposes a...
Linjiang Yu, Georgy L. Gimel'farb
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 years 6 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...