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» Using feature models to automate model transformations
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BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
ICASSP
2011
IEEE
14 years 10 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
WSC
2008
15 years 9 months ago
Automated Red Teaming: An objective-based Data Farming approach for Red Teaming
In this paper, we describe an objective-based Data Farming approach for red teaming called Automated Red Teaming (ART). The main idea is to develop an ART framework using Evolutio...
Ching Lian Chua, Wee Chung Sim, Chwee Seng Choo, V...
ICIP
2008
IEEE
16 years 8 months ago
Optical flow based tracking and retexturing of garments
In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with di...
Anna Hilsmann, Peter Eisert
PROCEDIA
2010
148views more  PROCEDIA 2010»
15 years 1 months ago
SysCellC: a data-flow programming model on multi-GPU
High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specific...
Dominique Houzet, Sylvain Huet, Anis Rahman