NDLI: Multimodal temporal pattern mining

Content Provider	IEEE Xplore Digital Library
Author	Pengyu Hong Huang, T.S.
Copyright Year	2002
Description	Author affiliation: Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA (Pengyu Hong)
Abstract	This paper proposes an approach for mining multimodal temporal patterns from multiple synchronous signal sequences generated by different modalities. The instances of the temporal patterns suffer from noise and non-linear temporal warping. There are non-pattern signal segments separating the instances of the temporal patterns in the whole signal sequences. Hidden Markov models with thresholds of supports are trained to capture the sub-patterns in each modality. The sub-patterns have overlaps and can be stitched together to form complete temporal patterns. The temporal information of the instances of the patterns in different modalities is then utilized to discover the multimodal temporal patterns.
Starting Page	465
Ending Page	468
File Size	252890
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1047977
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Signal processing Automata Signal generators Synchronous generators Speech Positron emission tomography Mathematics Probability distribution Gaussian distribution
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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