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ICARIS
2005
Springer
15 years 4 months ago
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
Thomas Stibor, Jonathan Timmis, Claudia Eckert
ML
2006
ACM
148views Machine Learning» more  ML 2006»
14 years 10 months ago
Melodic analysis with segment classes
This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequenceofno...
Darrell Conklin
DGO
2000
91views Education» more  DGO 2000»
15 years 9 hour ago
Simplifying data access: the energy data collection (EDC) project
The massive amount of statistical and text data available from government agencies has created a set of daunting challenges to both research and analysis communities. These proble...
José Luis Ambite, Yigal Arens, Luis Gravano...
BIB
2010
89views more  BIB 2010»
14 years 9 months ago
Knowledge-based data analysis comes of age
The emergence of high-throughput technologies for measuring biological systems has introduced problems for data interpretation that must be addressed for proper inference. First, ...
Michael F. Ochs
ICVGIP
2004
15 years 1 days ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta