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» Automated High-Dimensional Flow Cytometric Data Analysis
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ICML
2004
IEEE
14 years 7 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
CSFW
2010
IEEE
13 years 10 months ago
Approximation and Randomization for Quantitative Information-Flow Analysis
—Quantitative information-flow analysis (QIF) is an emerging technique for establishing information-theoretic confidentiality properties. Automation of QIF is an important step...
Boris Köpf, Andrey Rybalchenko
WSC
2008
13 years 8 months ago
Automated generation and parameterization of throughput models for semiconductor tools
Cluster tools play an important role in modern semiconductor fabs. Due to their complexity in configuration and their varying material flow, the creation of accurate throughput mo...
Jan Lange, Kilian Schmidt, Roy Borner, Oliver Rose
DAC
2009
ACM
14 years 7 months ago
Thermal-aware data flow analysis
This paper suggests that the thermal state of a processor can be approximated using data flow analysis. The results of this analysis can be used to evaluate the efficacy of therma...
David Atienza, José Luis Ayala, Philip Bris...
DBSEC
2008
137views Database» more  DBSEC 2008»
13 years 7 months ago
Towards Automation of Testing High-Level Security Properties
Abstract. Many security problems only become apparent after software is deployed, and in many cases a failure has occurred prior to the awareness of the problem. Although many woul...
Aiman Hanna, Hai Zhou Ling, Jason Furlong, Mourad ...