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» Parallelizing Feature Selection
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133
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VCIP
2003
170views Communications» more  VCIP 2003»
15 years 5 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
144
Voted
BMVC
1997
15 years 5 months ago
Employing Region Features for Searching an Image Database
This paper describes recent work on the use of regional data extracted from segmented images for use as search keys in an image database query system. The motivation for this work...
Matthew E. J. Wood, Neill W. Campbell, Barry T. Th...
131
Voted
IVC
2002
90views more  IVC 2002»
15 years 3 months ago
Force field energy functionals for image feature extraction
Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we a...
David J. Hurley, Mark S. Nixon, John N. Carter
128
Voted
ICCSA
2007
Springer
15 years 9 months ago
Fast Inter-skip Mode Selection Algorithm for Inter Frame Coding in H.264/AVC
The H.264/AVC provides gains in compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards. However, these features inc...
Sung-Hoon Jeon, Sung-Min Kim, Ki-Dong Chung
129
Voted
ICNC
2005
Springer
15 years 9 months ago
Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
Yuangui Li, Zhonghui Hu, Yunze Cai, Weidong Zhang