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» An Adaptive Supersampling Method
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CVPR
2010
IEEE
14 years 3 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
14 years 1 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 11 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
LREC
2008
146views Education» more  LREC 2008»
13 years 11 months ago
Estimating the Resource Adaption Cost from a Resource Rich Language to a Similar Resource Poor Language
Developing resources which can be used for Natural Language Processing is an extremely difficult task for any language, but is even more so for less privileged (or less computeriz...
Anil Kumar Singh, Kiran Pala, Harshit Surana
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 4 months ago
A Robust Method for TV Logo Tracking in Video Streams
Most broadcast stations rely on TV logos to claim video content ownership or visually distinguish the broadcast from the interrupting commercial block. Detecting and tracking a TV...
Jinqiao Wang, Lingyu Duan, Zhenglong Li, Jing Liu,...