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» On the Network Complexity of Selection
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CVPR
2012
IEEE
13 years 9 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
ICPR
2004
IEEE
16 years 8 months ago
Selecting Models from Videos for Appearance-Based Face Recognition
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
Abdenour Hadid, Matti Pietikäinen
ICC
2007
IEEE
107views Communications» more  ICC 2007»
16 years 1 months ago
OFDM PAPR Reduction Using Selected Mapping Without Side Information
— Selected mapping (SLM) is a well-known method for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. The main drawbac...
Boon Kien Khoo, Stéphane Y. Le Goff, Charal...
ISCAS
2007
IEEE
109views Hardware» more  ISCAS 2007»
16 years 1 months ago
Macroblock-level Reduced Resolution Video Coding Allowing Adaptive DCT Coefficients Selection
—Reduced Resolution Update (RRU) video coding provides a better compression performance than H.264/AVC does. It is implemented by encoding the predicted residuals after downsampl...
Qiang Hao, Xiangyang Ji, Qingming Huang, Debin Zha...
ECML
2007
Springer
16 years 1 months ago
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
Averaged One-Dependence Estimators (AODE) classifies by uniformly aggregating all qualified one-dependence estimators (ODEs). Its capacity to significantly improve naive Bayes...
Fei Zheng, Geoffrey I. Webb