NDLI: Consensus inference with multilayer graphs for multi-modal data

Content Provider	IEEE Xplore Digital Library
Author	Ramamurthy, K.N. Thiagarajan, J.J. Sridhar, R. Kothandaraman, P. Nachiappan, R.
Copyright Year	2014
Description	Author affiliation: SSN Coll. of Eng., Chennai, India (Sridhar, R.; Kothandaraman, P.; Nachiappan, R.) \|\| Lawrence Livermore Nat. Labs., Livermore, CA, USA (Thiagarajan, J.J.) \|\| IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA (Ramamurthy, K.N.)
Abstract	Emergence of numerous modalities for data generation necessitates the development of machine learning techniques that can perform efficient inference with multi-modal data. In this paper, we present an approach to learn discriminant low-dimensional projections from supervised multi-modal data. We construct intra- and inter-class similarity graphs for each modality and optimize for consensus projections in the kernel space. Features obtained with these projections can then be used to train a classifier for consensus inference. We also provide methods for out-of-sample extensions with novel test data. Classification results with standard multi-modal data sets demonstrate the efficacy of our method.
Starting Page	1341
Ending Page	1345
File Size	966434
Page Count	5
File Format	PDF
e-ISBN	9781479982974
DOI	10.1109/ACSSC.2014.7094679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Nonhomogeneous media Training Feature extraction Emotion recognition Standards Correlation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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