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NC
2006
132views Neural Networks» more  NC 2006»
15 years 3 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
139
Voted
COMPGEOM
2006
ACM
15 years 10 months ago
Vines and vineyards by updating persistence in linear time
Persistent homology is the mathematical core of recent work on shape, including reconstruction, recognition, and matching. Its pertinent information is encapsulated by a pairing o...
David Cohen-Steiner, Herbert Edelsbrunner, Dmitriy...
CCR
2006
82views more  CCR 2006»
15 years 4 months ago
Why flow-completion time is the right metric for congestion control
Users typically want their flows to complete as quickly as possible: They want a web-page to download quickly, or a file transfer to complete as rapidly as possible. In other words...
Nandita Dukkipati, Nick McKeown
ENTCS
2006
134views more  ENTCS 2006»
15 years 4 months ago
Partial Order Reduction for Probabilistic Branching Time
In the past, partial order reduction has been used successfully to combat the state explosion problem in the context of model checking for non-probabilistic systems. For both line...
Christel Baier, Pedro R. D'Argenio, Marcus Grö...
SSDBM
2006
IEEE
129views Database» more  SSDBM 2006»
15 years 10 months ago
Indexing Time-Evolving Data With Variable Lifetimes
Many applicationsstore data items for a pre-determined, finite length of time. Examples include slidingwindows over on-line data streams, where old data are dropped as the window...
Lukasz Golab, Piyush Prahladka, M. Tamer Özsu