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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 7 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 28 days 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