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» Structure-Preserving Model Reduction
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92
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KBSE
2009
IEEE
15 years 9 months ago
Understanding the Value of Software Engineering Technologies
SEESAW combines AI search tools, a Monte Carlo simulator, and some software process models. We show here that, when selecting technologies for a software project, SEESAW out-perfo...
Phillip Green II, Tim Menzies, Steve Williams, Ous...
122
Voted
QEST
2009
IEEE
15 years 9 months ago
Exploiting Restricted Transitions in Quasi-Birth-and-Death Processes
—In this paper we consider Quasi-Birth-and-Death (QBD) processes where the upward (resp. downward) transitions are restricted to occur only from (resp. to) a subset of the phase ...
Juan F. Pérez, Benny Van Houdt
118
Voted
ACCV
2009
Springer
15 years 9 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
113
Voted
ICASSP
2008
IEEE
15 years 9 months ago
System combination using auxiliary information for speaker verification
Recent studies in speaker recognition have shown that scorelevel combination of subsystems can yield significant performance gains over individual subsystems. We explore the use ...
Luciana Ferrer, Martin Graciarena, Argyrios Zymnis...
102
Voted
ICPR
2008
IEEE
15 years 9 months ago
A computer vision based camera pedestal's vertical motion control
. Traditional camera pedestals are manually operated. Our long term goal is to construct a fully autonomous pedestal system which can respond to changes in a scene and mimicking t...
Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish...