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» Fuzzy Clustering Based on Total Uncertainty Degree
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ICVGIP
2008
13 years 9 months ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
KI
2010
Springer
13 years 5 months ago
CoTeSys - Cognition for Technical Systems
The COTESYS cluster of excellence1 investigates cognition for technical systems such as vehicles, robots, and factories. Cognitive technical systems (CTS) are information processi...
Martin Buss, Michael Beetz
JGS
2006
113views more  JGS 2006»
13 years 7 months ago
Pattern based map comparisons
Map comparison techniques based on a pixel-by-pixel comparison are useful for many purposes, but fail to reveal important aspects of map similarities and differences. In contrast, ...
Roger White
ICEBE
2007
IEEE
79views Business» more  ICEBE 2007»
14 years 1 months ago
Partition-based Profit Optimisation for Multi-class Requests in Clusters of Servers
This paper investigates profit optimisation by the partitioning of server pools. Different types of web requests are considered in this paper: best-effort requests and multi-class...
Ligang He, James Wen Jun Xue, Stephen A. Jarvis
TKDE
2010
149views more  TKDE 2010»
13 years 2 months ago
A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information
The RETE algorithm is a very efficient option for the development of a rule-based system, but it supports only boolean, first order logic. Many real-world contexts, instead, requir...
Davide Sottara, Paola Mello, Mark Proctor