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» On Computing Functions with Uncertainty
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ISBI
2011
IEEE
12 years 11 months ago
Differential information content in staggered multiple shell hardi measured by the tensor distribution function
Diffusion tensor imaging has accelerated the study of brain connectivity, but single-tensor diffusion models are too simplistic to model fiber crossing and mixing. Hybrid diffusio...
Liang Zhan, Alex D. Leow, Iman Aganj, Christophe L...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 9 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
13 years 8 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
GLVLSI
2009
IEEE
146views VLSI» more  GLVLSI 2009»
13 years 11 months ago
A reconfigurable stochastic architecture for highly reliable computing
Mounting concerns over variability, defects and noise motivate a new approach for integrated circuits: the design of stochastic logic, that is to say, digital circuitry that opera...
Xin Li, Weikang Qian, Marc D. Riedel, Kia Bazargan...
ADCM
2000
39views more  ADCM 2000»
13 years 7 months ago
Uncertainty products of local periodic wavelets
This paper is on the angle-frequency localization of periodic scaling functions and wavelets. It is shown that the uncertainty products of uniformly local, uniformly regular and u...
Say Song Goh, Chee Heng Yeo