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114
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ICIP
2010
IEEE
15 years 1 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
QEST
2007
IEEE
15 years 9 months ago
Symbolic Bisimulations for Probabilistic Systems
The paper introduces symbolic bisimulations for a simple probabilistic π-calculus to overcome the infinite branching problem that still exists in checking ground bisimulations b...
Peng Wu 0002, Catuscia Palamidessi, Huimin Lin
150
Voted
DKE
2007
130views more  DKE 2007»
15 years 3 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
129
Voted
ACL
2011
14 years 7 months ago
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang
CCGRID
2006
IEEE
15 years 9 months ago
Component-Based Modeling, Analysis and Animation
Component-based software construction is widely used in a variety of applications, from embedded environments to grid computing. However, errors in these applications and systems ...
Jeff Kramer