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» Duplicate detection in probabilistic data
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RECOMB
2006
Springer
16 years 6 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler
AAAI
2012
13 years 8 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
16 years 6 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
SIGIR
2006
ACM
15 years 11 months ago
Near-duplicate detection by instance-level constrained clustering
For the task of near-duplicated document detection, both traditional fingerprinting techniques used in database community and bag-of-word comparison approaches used in information...
Hui Yang, James P. Callan
ITC
2000
IEEE
101views Hardware» more  ITC 2000»
15 years 10 months ago
Which concurrent error detection scheme to choose ?
Concurrent error detection (CED) techniques (based on hardware duplication, parity codes, etc.) are widely used to enhance system dependability. All CED techniques introduce some ...
Subhasish Mitra, Edward J. McCluskey