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» A Framework for the Simulation Experimentation Process
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PAMI
2006
147views more  PAMI 2006»
15 years 6 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
ASPDAC
2009
ACM
122views Hardware» more  ASPDAC 2009»
16 years 21 days ago
Tolerating process variations in high-level synthesis using transparent latches
—Considering process variability at the behavior synthesis level is necessary, because it makes some instances of function units slower and others faster, resulting in unbalanced...
Yibo Chen, Yuan Xie
ICCV
2007
IEEE
16 years 15 days ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen
KBSE
2007
IEEE
16 years 14 days ago
Extracting rights and obligations from regulations: toward a tool-supported process
Security, privacy and governance are increasingly the focus of government regulations in the U.S., Europe and elsewhere. This trend has created a “regulation compliance” probl...
Nadzeya Kiyavitskaya, Nicola Zeni, Travis D. Breau...
WORDS
2003
IEEE
15 years 11 months ago
Object and Process Migration in .NET
Most of today’s distributed computing systems in the field do not support the migration of execution entities among computing nodes during runtime. The relatively static associa...
Peter Tröger, Andreas Polze