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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 9 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
CVPR
2006
IEEE
1579views Computer Vision» more  CVPR 2006»
16 years 6 months ago
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...
Alaa E. Abdel-Hakim, Aly A. Farag
ECCV
2006
Springer
16 years 6 months ago
SURF: Speeded Up Robust Features
In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperform...
Herbert Bay, Tinne Tuytelaars, Luc J. Van Gool
TARK
2009
Springer
15 years 11 months ago
A computational theory of awareness and decision making
We exhibit a new computational-based definition of awareness, informally that our level of unawareness of an object is the amount of time needed to generate that object within a ...
Nikhil R. Devanur, Lance Fortnow
VTC
2008
IEEE
103views Communications» more  VTC 2008»
15 years 11 months ago
On Parameter Estimation for Ultra-Wideband Channels with Clustering Phenomenon
— One of the unique characteristics of ultra-wideband channels is the clustering phenomenon resolved by the ultra-wide signal bandwidth. Channel structures extended from the Sale...
Wei-De Wu, Chung-Hsuan Wang, Chi-Chao Chao, Klaus ...