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CVPR
1999
IEEE
16 years 3 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
BMCBI
2006
96views more  BMCBI 2006»
15 years 1 months ago
Bayesian detection of periodic mRNA time profiles without use of training examples
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...
Claes R. Andersson, Anders Isaksson, Mats G. Gusta...
DCOSS
2008
Springer
15 years 3 months ago
Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an act...
Mihai Marin-Perianu, Clemens Lombriser, Oliver Amf...
BMCBI
2005
124views more  BMCBI 2005»
15 years 1 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
IEEEIAS
2008
IEEE
15 years 8 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...