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ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
15 years 9 months ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
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...
Sreekar Krishna, Sethuraman Panchanathan
CVBIA
2005
Springer
15 years 9 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
NIPS
2008
15 years 5 months ago
Support Vector Machines with a Reject Option
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
121
Voted
CVPR
2010
IEEE
15 years 8 months ago
An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection
We introduce a method to accelerate the evaluation of object detection cascades with the help of a divide-andconquer procedure in the space of candidate regions. Compared to the e...
Christoph Lampert
115
Voted
ICPR
2004
IEEE
16 years 5 months ago
Statistical Classification of Raw Textile Defects
In this paper, the problem of classification of defects occurring in a textile manufacture is addressed. A new classification scheme is devised in which different features, extrac...
Ivan A. Rossi, Manuele Bicego, Vittorio Murino