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» On Feature Selection through Clustering
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CVPR
2007
IEEE
14 years 9 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
DATE
2009
IEEE
171views Hardware» more  DATE 2009»
13 years 11 months ago
Physically clustered forward body biasing for variability compensation in nanometer CMOS design
Nanometer CMOS scaling has resulted in greatly increased circuit variability, with extremely adverse consequences on design predictability and yield. A number of recent works have...
Ashoka Visweswara Sathanur, Antonio Pullini, Luca ...
TCAD
2010
97views more  TCAD 2010»
13 years 2 months ago
Technology Mapping and Clustering for FPGA Architectures With Dual Supply Voltages
Abstract--This paper presents a technology mapping algorithm for field-programmable gate array architectures with dual supply voltages (Vdds) for power optimization. This is done w...
Deming Chen, Jason Cong, Chen Dong, Lei He, Fei Li...
ICMCS
2008
IEEE
115views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Spatial pyramid mining for logo detection in natural scenes
This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configuration...
Jim Kleban, Xing Xie, Wei-Ying Ma
CIVR
2008
Springer
114views Image Analysis» more  CIVR 2008»
13 years 9 months ago
World-scale mining of objects and events from community photo collections
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on ...
Till Quack, Bastian Leibe, Luc J. Van Gool