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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
DATE
2010
IEEE
160views Hardware» more  DATE 2010»
14 years 26 days ago
IVF: Characterizing the vulnerability of microprocessor structures to intermittent faults
—With the advancement of CMOS manufacturing process to nano-scale, future shipped microprocessors will be increasingly vulnerable to intermittent faults. Quantitatively character...
Songjun Pan, Yu Hu, Xiaowei Li
IWPSE
2007
IEEE
14 years 2 months ago
Structural analysis and visualization of C++ code evolution using syntax trees
We present a method to detect and visualize evolution patterns in C++ source code. Our method consists of three steps. First, we extract an annotated syntax tree (AST) from each v...
Fanny Chevalier, David Auber, Alexandru Telea
APIN
1999
107views more  APIN 1999»
13 years 7 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
ASWEC
2007
IEEE
14 years 2 months ago
A Formal Model of Service-Oriented Design Structure
—Service-Oriented Computing (SOC) is an emerging paradigm for developing software systems that employ services. Presently there is already much research effort in the areas of se...
Mikhail Perepletchikov, Caspar Ryan, Keith Frampto...