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» The Complexity of Andersen's Analysis in Practice
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ICDAR
2003
IEEE
13 years 12 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
ENTCS
2007
143views more  ENTCS 2007»
13 years 6 months ago
Formal Fault Tree Analysis - Practical Experiences
Safety is an important requirement for many modern systems. To ensure safety of complex critical systems, well-known safety analysis methods have been formalized. This holds in pa...
Frank Ortmeier, Gerhard Schellhorn
BMCBI
2011
12 years 10 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
DSN
2008
IEEE
14 years 1 months ago
Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware
Many threats that plague today’s networks (e.g., phishing, botnets, denial of service attacks) are enabled by a complex ecosystem of attack programs commonly called malware. To ...
Xu Chen, Jonathon Andersen, Zhuoqing Morley Mao, M...
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
13 years 6 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring