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» Stochastic Motif Extraction Using Hidden Markov Model
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BMCBI
2007
142views more  BMCBI 2007»
14 years 11 months ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...
IAJIT
2011
14 years 6 months ago
A Markovian approach for arabic root extraction
In this paper, we present an Arabic morphological analysis system that assigns, for each word of an unvoweled Arabic sentence, a unique root depending on the context. The proposed...
Abderrahim Boudlal, Mohamed Ould Abdallahi Ould Be...
ICML
2000
IEEE
16 years 16 days ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
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ICPR
2002
IEEE
16 years 24 days ago
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation
We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hid...
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. ...
IEEEPACT
2005
IEEE
15 years 5 months ago
Exploiting Coarse-Grained Parallelism to Accelerate Protein Motif Finding with a Network Processor
While general-purpose processors have only recently employed chip multiprocessor (CMP) architectures, network processors (NPs) have used heterogeneous multi-core architectures sin...
Ben Wun, Jeremy Buhler, Patrick Crowley