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ICONIP
2009
15 years 4 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
IPPS
2002
IEEE
15 years 11 months ago
Real-Time Communication for Distributed Vision Processing Based on Imprecise Computation Model
In this paper we propose an efficient real-time communication mechanism for distributed vision processing. One of the biggest problems of distributed vision processing, as is the ...
Hiromasa Yoshimoto, Daisaku Arita, Rin-ichiro Tani...
JCNS
2000
67views more  JCNS 2000»
15 years 6 months ago
Renewal-Process Approximation of a Stochastic Threshold Model for Electrical Neural Stimulation
In a recent set of modeling studies we have developed a stochastic threshold model of auditory nerve response to single biphasic electrical pulses (Bruce et al., 1999c) and moderat...
Ian C. Bruce, Laurence S. Irlicht, Mark W. White, ...
ECIS
2004
15 years 8 months ago
Towards a Process Model of Media Usage in Global Virtual Teams
In the networked world of today, global virtual teams (GVT) are becoming a common form of work structure. The geographic dispersion in GVT has led to members' high reliance o...
Juliana Sutanto, Chee Wei Phang, Atreyi Kankanhall...
SIGMETRICS
2010
ACM
181views Hardware» more  SIGMETRICS 2010»
15 years 7 months ago
A unified modeling framework for distributed resource allocation of general fork and join processing networks
This paper addresses the problem of distributed resource allocation in general fork and join processing networks. The problem is motivated by the complicated processing requiremen...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...