C. Chandra Sekhar

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 24

Top Topics

Metric Learning

Affinity Propagation

Top Venues

Publications

Hemalatha Munusamy, C. Chandra Sekhar
Multi-Modal Hierarchical Attention-Based Dense Video Captioning. ICIP (2023)
Naveen Vakada, C. Chandra Sekhar
Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer and Post-processing. ACIVS (2023)
Hemalatha Munusamy, C. Chandra Sekhar
Multimodal attention-based transformer for video captioning. Appl. Intell. 53 (20) (2023)
Vishwajit Kumar Vishnu, C. Chandra Sekhar
Memory-efficient Stochastic methods for Memory-based Transformers. CoRR (2023)
Hemalatha Munusamy, C. Chandra Sekhar
Video captioning using Semantically Contextual Generative Adversarial Network. Comput. Vis. Image Underst. 221 (2022)
Rupam Ojha, C. Chandra Sekhar
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features. CoRR (2021)
Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose, C. Chandra Sekhar, Shrikanth Narayanan, Hema A. Murthy
Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts. CoRR (2021)
Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
M. Hemalatha, C. Chandra Sekhar
Domain-Specific Semantics Guided Approach to Video Captioning. WACV (2020)
Ujjal Kr Dutta, C. Chandra Sekhar
A Geometric Approach for Unsupervised Similarity Learning. ICASSP (2020)
Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
Unsupervised Metric Learning with Synthetic Examples. AAAI (2020)
Rupam Ojha, C. Chandra Sekhar
Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models. IJCNN (2019)
Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Incremental Transfer Learning in Two-pass Information Bottleneck based Speaker Diarization System for Meetings. CoRR (2019)
Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings. ICASSP (2019)
Ujjal Kr Dutta, C. Chandra Sekhar
Subspace Segmentation Based Metric Learning. ICIP (2018)
B. S. Shajee Mohan, C. Chandra Sekhar
Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space. Pattern Anal. Appl. 21 (3) (2018)
Ujjal Kr Dutta, C. Chandra Sekhar
Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. ICANN (1) (2018)
Aditya Mehta, C. Chandra Sekhar
Kernel Entropy Discriminant Analysis for Dimension Reduction. PReMI (2017)
Aritra Ghosh, C. Chandra Sekhar
Label Correlation Propagation for Semi-supervised Multi-label Learning. PReMI (2017)
B. S. Shajee Mohan, C. Chandra Sekhar
Distance Metric Learnt Kernel based SVMs for Semi-Supervised Pattern Classification. ICAPR (2017)
Abhiram Kumar Singh, C. Chandra Sekhar
A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification. PReMI (2017)
Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features. INTERSPEECH (2016)
Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar
Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. ICMLA (2015)
Niharjyoti Sarangi, C. Chandra Sekhar
Automatic Image Annotation Using Convex Deep Learning Models. ICPRAM (2) (2015)
Ramya K. Raman, C. Chandra Sekhar
Concept Level Discriminant Analysis Techniques for Dimension Reduction in Image Classification Tasks. ICVGIP (2014)
Shrikant Nayak, C. Chandra Sekhar
Techniques for Improving the Performance of Image Retrieval using Relevance Feedback. ICVGIP (2014)
B. Balasanjeevi, C. Chandra Sekhar
A Descriptor based on Intensity Binning for Image Matching. ICPRAM (2014)
Aroor Dinesh Dileep, C. Chandra Sekhar
Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines. Speech Commun. 57 (2014)
Aroor Dinesh Dileep, C. Chandra Sekhar
HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines. IEEE ACM Trans. Audio Speech Lang. Process. 21 (12) (2013)
Venkataramana B. Kini, C. Chandra Sekhar
Large margin mixture of AR models for time series classification. Appl. Soft Comput. 13 (1) (2013)
Venkataramana B. Kini, C. Chandra Sekhar
Bayesian mixture of AR models for time series clustering. Pattern Anal. Appl. 16 (2) (2013)
Aroor Dinesh Dileep, C. Chandra Sekhar
HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines. ICASSP (2013)
B. S. Shajee Mohan, C. Chandra Sekhar
Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification. ICIAR (2) (2012)
Aroor Dinesh Dileep, C. Chandra Sekhar
Speaker recognition using pyramid match kernel based support vector machines. Int. J. Speech Technol. 15 (3) (2012)
S. Chandrakala, C. Chandra Sekhar
Classification of varying length multivariate time series using Gaussian mixture models and support vector machines. Int. J. Data Min. Model. Manag. 2 (3) (2010)
Sheetal Reddy Pamudurthy, C. Chandra Sekhar
Ordering and Elimination Based Component Learning Method. ICAPR (2009)
Harendra Kumar Mishra, C. Chandra Sekhar
Variational Gaussian Mixture Models for Speech Emotion Recognition. ICAPR (2009)
S. Chandrakala, C. Chandra Sekhar
Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features. PReMI (2009)
Venkataramana B. Kini, C. Chandra Sekhar
Bayesian Mixture of AR Models for Time Series Clustering. ICAPR (2009)
Anupam Mandal, K. R. Prasanna Kumar, G. Athithan, C. Chandra Sekhar
A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech. ICAPR (2009)
Ved Prakash Sahu, Harendra Kumar Mishra, C. Chandra Sekhar
Variational Bayes Adapted GMM Based Models for Audio Clip Classification. PReMI (2009)
S. Chandrakala, C. Chandra Sekhar
Model Based Clustering of Audio Clips Using Gaussian Mixture Models. ICAPR (2009)
Venkataramana B. Kini, C. Chandra Sekhar
Large margin AR model for time series classification. ICPR (2008)
Sadhana Chevireddy, Hema A. Murthy, C. Chandra Sekhar
Signal processing based segmentation and hmm based acoustic clustering of syllable segments for low bit rate segment vocoder at 1.4 Kbps. EUSIPCO (2008)
A. Vijaya Rama Raju, C. Chandra Sekhar
An SVM Based Approach to Cross-Language Adaptation for Indian Languages. ICONIP (2) (2008)
G. Haranadh, C. Chandra Sekhar
Hyperparameters of Gaussian process as features for trajectory classification. IJCNN (2008)
S. Chandrakala, C. Chandra Sekhar
A density based method for multivariate time series clustering in kernel feature space. IJCNN (2008)
Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar
Local Density Estimation based Clustering. IJCNN (2007)
Lakshmi Narayana Panuku, C. Chandra Sekhar
Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons. ICONIP (1) (2007)
R. Anitha, C. Chandra Sekhar
Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines. IJCNN (2007)
Venkataramana B. Kini, C. Chandra Sekhar
Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction. ICCTA (2007)
Venkataramana B. Kini, C. Chandra Sekhar
Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching. ICONIP (2) (2007)
R. Anitha, C. Chandra Sekhar
Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space. ISNN (1) (2007)
Lakshmi Narayana Panuku, C. Chandra Sekhar
Clustering of Nonlinearly Separable Data Using Spiking Neural Networks. ICANN (1) (2007)
H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy
Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts. ICANN (2) (2007)
D. Srikrishna Satish, C. Chandra Sekhar
Kernel based Clustering and Vector Quantization for Speech Segmentation. IJCNN (2006)
Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models. NOLISP (2005)
R. Suguna, N. Sudha, C. Chandra Sekhar
A Fast and Efficient Face Detection Technique Using Support Vector Machine. ICONIP (2004)
D. Srikrishna Satish, C. Chandra Sekhar
Kernel Based Clustering for Multiclass Data. ICONIP (2004)
Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances. ICASSP (2) (2003)
Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances. ICME (2003)
Weifeng Lee, C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura
Recognition of continuous speech segments of monophone units using support vector machines. INTERSPEECH (2002)
C. Chandra Sekhar, B. Yegnanarayana
A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances. IEEE Trans. Speech Audio Process. 10 (7) (2002)
Ansgar Drolshagen, Walter Anheier, C. Chandra Sekhar
A Residue Number Arithmetic based Circuit for Pipelined Computation of Autocorrelation Coefficients of Speech Signal. VLSI Design (1998)
C. Chandra Sekhar, B. Yegnanarayana
Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech. ICNN (1996)
A. S. Madhukumar, S. Rajendran, C. Chandra Sekhar, B. Yegnanarayana
Synthesizing intonation for speech in hindi. EUROSPEECH (1991)
M. Prakash, G. V. Ramana Rao, C. Chandra Sekhar, B. Yegnanarayana
Parsing spoken utterances in an inflectional language. EUROSPEECH (1989)
P. Eswar, S. K. Gupta, C. Chandra Sekhar, B. Yegnanarayana, K. Nagamma Reddy
An acoustic-phonetic expert for analysis and processing of continuous speech in hindi. ECST (1987)