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PRL
1998
132views more  PRL 1998»
15 years 3 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
146
Voted
ICIP
2007
IEEE
16 years 5 months ago
Iterative Blind Image Motion Deblurring via Learning a No-Reference Image Quality Measure
In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately es...
Wen-Hao Lee, Shang-Hong Lai, Chia-Lun Chen
CIMCA
2008
IEEE
15 years 10 months ago
Seller's Strategies for Predicting Winning Bid Prices in Online Auctions
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
Yevgeniya Kovalchuk
109
Voted
ICDCSW
2003
IEEE
15 years 8 months ago
A Study of the Performance and Parameter Sensitivity of Adaptive Distributed Caching
A self-organized approach to manage a distributed proxy system called Adaptive Distributed Caching (ADC) has been proposed previously. We model each proxy as an autonomous agent th...
Markus J. Kaiser, Kwok Ching Tsui, Jiming Liu
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 7 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
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