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TIP
2011
137views more  TIP 2011»
13 years 2 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 2 days ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 1 months ago
XCS for robust automatic target recognition
A primary strength of the XCS approach is its ability to create maximally accurate general rules. In automatic target recognition (ATR) there is a need for robust performance beyo...
B. Ravichandran, Avinash Gandhe, Robert E. Smith
BMCBI
2007
112views more  BMCBI 2007»
13 years 7 months ago
AUG_hairpin: prediction of a downstream secondary structure influencing the recognition of a translation start site
Background: The translation start site plays an important role in the control of translation efficiency of eukaryotic mRNAs. The recognition of the start AUG codon by eukaryotic r...
Alexey V. Kochetov, Andrey Palyanov, Igor I. Titov...
MM
2003
ACM
124views Multimedia» more  MM 2003»
14 years 24 days ago
Using structure patterns of temporal and spectral feature in audio similarity measure
Although statistical characteristics of audio features are widely used for similarity measure in most of current audio analysis systems and have been proved to be effective, they ...
Rui Cai, Lie Lu, HongJiang Zhang