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C Chandra Sekhar, Ph.D

Affiliations: 
CSE IIT, Madras, India 
Area:
Speech Processing, Artificial Neural Networks, Kernel Methods, Pattern Recognition, Content based Information Retrieval, Handwritten Character Recognition
Website:
http://www.cse.iitm.ac.in/chandra/
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"C Sekhar"
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Parents

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Bayya Yegnanarayana grad student IIT, Madras, India

Children

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A D. Dileep grad student IIT, Madras, India

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Publications

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Mohan BSS, Sekhar CC. (2017) Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space Pattern Analysis and Applications. 21: 847-867
Dileep AD, Sekhar CC. (2014) GMM-based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines. Ieee Transactions On Neural Networks and Learning Systems. 25: 1421-32
Kini BV, Sekhar CC. (2013) Large margin mixture of AR models for time series classification Applied Soft Computing Journal. 13: 361-371
Dileep AD, Sekhar CC. (2012) Speaker identification using intermediate matching kernel-based support vector machines Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism. 389-424
Chandrakala S, Sekhar CC. (2010) Classification of varying length multivariate time series using Gaussian mixture models and support vector machines International Journal of Data Mining, Modelling and Management. 2: 268-287
Swapna S, Dileep AD, Sekhar CC, et al. (2010) Block cipher identification using support vector classification and regression Journal of Discrete Mathematical Sciences and Cryptography. 13: 305-318
Dileep AD, Sekhar CC. (2009) Representation and feature selection using multiple kernel learning Proceedings of the International Joint Conference On Neural Networks. 717-722
Chandrakala S, Sekhar CC. (2009) Classification of multi-variate varying length time series using descriptive statistical features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5909: 13-18
Haranadh G, Sekhar CC. (2008) Hyperparameters of gaussian process as features for trajectory classification Proceedings of the International Joint Conference On Neural Networks. 2195-2199
Anitha R, Satish DS, Sekhar CC. (2004) Outerproduct of trajectory matrix for acoustic modeling using support vector machines Machine Learning For Signal Processing Xiv - Proceedings of the 2004 Ieee Signal Processing Society Workshop. 355-363
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