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ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 8 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
DEBS
2007
ACM
14 years 2 months ago
High frequency distributed data stream event correlation to improve neonatal clinical management
Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17...
Carolyn McGregor, Michael Stacey
SOCO
2010
Springer
13 years 8 months ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
PPOPP
1997
ACM
14 years 2 months ago
Shared Memory Performance Profiling
This paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn Parallel Performance Tools running with...
Zhichen Xu, James R. Larus, Barton P. Miller
MMSEC
2006
ACM
167views Multimedia» more  MMSEC 2006»
14 years 4 months ago
Hermite polynomials as provably good functions to watermark white gaussian hosts
In the watermark detection scenario, also known as zero-bit watermarking, a watermark, carrying no hidden message, is inserted in content. The watermark detector checks for the pr...
Teddy Furon