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CVPR
2012
IEEE
11 years 7 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
ICDAR
2009
IEEE
13 years 3 months ago
Comparative Study of Devnagari Handwritten Character Recognition Using Different Feature and Classifiers
In recent years research towards Indian handwritten character recognition is getting increasing attention. Many approaches have been proposed by the researchers towards handwritte...
Umapada Pal, Tetsushi Wakabayashi, Fumitaka Kimura
ICPR
2010
IEEE
13 years 7 months ago
Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition
A realistic appearance-based representation of sideview gait sequences is here introduced. It is based on a prior method where a set of appearance-based features of a gait sample ...
Raúl Martín-Félez, Ramón A. Mollineda, J. Salv...
ICB
2009
Springer
141views Biometrics» more  ICB 2009»
13 years 12 months ago
Towards Structured Approaches to Arbitrary Data Selection and Performance Prediction for Speaker Recognition
We developed measures relating feature vector distributions to speaker recognition (SR) performances for performance prediction and potential arbitrary data selection for SR. We ex...
Howard Lei
CVPR
2008
IEEE
14 years 7 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...