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C Chandra Sekhar, Ph.D - Publications

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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20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Mohan BSS, Sekhar CC. Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space Pattern Analysis and Applications. 21: 847-867. DOI: 10.1007/S10044-017-0670-3  0.429
2014 Dileep AD, Sekhar CC. 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. PMID 25050941 DOI: 10.1109/Tnnls.2013.2293512  0.689
2013 Kini BV, Sekhar CC. Large margin mixture of AR models for time series classification Applied Soft Computing Journal. 13: 361-371. DOI: 10.1016/J.Asoc.2012.08.027  0.456
2012 Dileep AD, Sekhar CC. Speaker identification using intermediate matching kernel-based support vector machines Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism. 389-424. DOI: 10.1007/9781461402633_14  0.656
2010 Chandrakala S, Sekhar CC. 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. DOI: 10.1504/Ijdmmm.2010.033537  0.522
2010 Swapna S, Dileep AD, Sekhar CC, Kant S. Block cipher identification using support vector classification and regression Journal of Discrete Mathematical Sciences and Cryptography. 13: 305-318. DOI: 10.1080/09720529.2010.10698296  0.671
2009 Dileep AD, Sekhar CC. Representation and feature selection using multiple kernel learning Proceedings of the International Joint Conference On Neural Networks. 717-722. DOI: 10.1109/IJCNN.2009.5178897  0.609
2009 Chandrakala S, Sekhar CC. 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. DOI: 10.1007/978-3-642-11164-8_3  0.319
2008 Haranadh G, Sekhar CC. Hyperparameters of gaussian process as features for trajectory classification Proceedings of the International Joint Conference On Neural Networks. 2195-2199. DOI: 10.1109/IJCNN.2008.4634101  0.34
2004 Anitha R, Satish DS, Sekhar CC. 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.  0.363
2004 Satish DS, Sekhar CC. Kernel based clustering and vector quantization for speech recognition Machine Learning For Signal Processing Xiv - Proceedings of the 2004 Ieee Signal Processing Society Workshop. 315-324.  0.302
2004 Gangashetty SV, Sekhar CC, Yegnanarayana B. Spotting consonant-vowel units in continuous speech using autoassociative neural networks and support vector machines Machine Learning For Signal Processing Xiv - Proceedings of the 2004 Ieee Signal Processing Society Workshop. 401-410.  0.594
2004 Gangashetty SV, Sekhar CC, Yegnanarayana B. Acoustic model combination for recognition of speech in multiple languages using support vector machines Ieee International Conference On Neural Networks - Conference Proceedings. 4: 3065-3069.  0.601
2002 Sekhar CC, Takeda K, Itakura F. Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines Lecture Notes in Computer Science. 171-185. DOI: 10.1007/3-540-45665-1_14  0.502
2002 Sekhar CC, Takeda K, Itakura F. Close-class-set discrimination method for large-class-set pattern recognition using support vector machines Proceedings of the International Joint Conference On Neural Networks. 1: 577-582.  0.381
2001 Sekhar CC, Takeda K, Itakura F. Close-class-set discrimination method for recognition of stop consonant-vowel utterances using support vector machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2130: 399-404. DOI: 10.1007/3-540-44668-0_56  0.455
1998 Sekhar CC, Yegnanarayana B. Modular networks and Constraint Satisfaction Model for recognition of Stop_Consonant-Vowel (SCV) utterances Ieee International Conference On Neural Networks - Conference Proceedings. 2: 1206-1211.  0.485
1996 Sekhar CC, Yegnanarayana B. Recognition of Stop-Consonant-Vowel (SCV) segments in continuous speech using neural network models Iete Journal of Research. 42: 269-280. DOI: 10.1080/03772063.1996.11415933  0.411
1996 Sekhar CC, Yegnanarayana B. Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech Ieee International Conference On Neural Networks - Conference Proceedings. 4: 2003-2008.  0.508
1992 Eswar P, Sekhar CC, Yegnanarayana B. Use of fuzzy mathematical concepts in character spotting for automatic recognition of continuous speech in Hindi Fuzzy Sets and Systems. 46: 1-9. DOI: 10.1016/0165-0114(92)90262-3  0.541
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