Chellu Chandra Sekhar

According to our database, Chellu Chandra Sekhar authored at least 80 papers between 1987 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multimodal attention-based transformer for video captioning.

Hemalatha Munusamy, C. Chandra Sekhar

Appl. Intell., October, 2023

Memory-efficient Stochastic methods for Memory-based Transformers.

Vishwajit Kumar Vishnu, C. Chandra Sekhar

CoRR, 2023

Multi-Modal Hierarchical Attention-Based Dense Video Captioning.

Hemalatha Munusamy, C. Chandra Sekhar

Proceedings of the IEEE International Conference on Image Processing, 2023

Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer and Post-processing.

Naveen Vakada, C. Chandra Sekhar

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2023

2022

Video captioning using Semantically Contextual Generative Adversarial Network.

Hemalatha Munusamy, C. Chandra Sekhar

Comput. Vis. Image Underst., 2022

2021

Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings.

Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features.

Rupam Ojha, C. Chandra Sekhar

CoRR, 2021

Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts.

Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose, C. Chandra Sekhar, Shrikanth Narayanan, Hema A. Murthy

CoRR, 2021

Semi-Supervised Metric Learning: A Deep Resurrection.

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss.

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

IEEE Trans. Artif. Intell., 2020

Affinity guided Geometric Semi-Supervised Metric Learning.

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

CoRR, 2020

Domain-Specific Semantics Guided Approach to Video Captioning.

Hemalatha Munusamy, C. Chandra Sekhar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Geometric Approach for Unsupervised Similarity Learning.

Ujjal Kr Dutta, C. Chandra Sekhar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Metric Learning with Synthetic Examples.

Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Probabilistic approach for Learning Embeddings without Supervision.

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

CoRR, 2019

Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models.

Rupam Ojha, C. Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2019

Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings.

Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space.

B. S. Shajee Mohan, C. Chandra Sekhar

Pattern Anal. Appl., 2018

Information Bottleneck Based Percussion Instrument Diarization System for Taniavartanam Segments of Carnatic Music Concerts.

Nauman Dawalatabad, Jom Kuriakose, Chellu Chandra Sekhar, Hema A. Murthy

Proceedings of the Interspeech 2018, 2018

Subspace Segmentation Based Metric Learning.

Ujjal Kr Dutta, C. Chandra Sekhar

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework.

Ujjal Kr Dutta, C. Chandra Sekhar

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification.

Abhiram Kumar Singh, C. Chandra Sekhar

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Kernel Entropy Discriminant Analysis for Dimension Reduction.

Aditya Mehta, C. Chandra Sekhar

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Label Correlation Propagation for Semi-supervised Multi-label Learning.

Aritra Ghosh, C. Chandra Sekhar

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Distance Metric Learnt Kernel based SVMs for Semi-Supervised Pattern Classification.

B. S. Shajee Mohan, C. Chandra Sekhar

Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

2016

Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features.

Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy

Proceedings of the Interspeech 2016, 2016

2015

Tensor Deep Stacking Networks and Kernel Deep Convex Networks for Annotating Natural Scene Images.

Niharjyoti Sarangi, Chellu Chandra Sekhar

Proceedings of the Pattern Recognition Applications and Methods, 2015

Automatic Image Annotation Using Convex Deep Learning Models.

Niharjyoti Sarangi, C. Chandra Sekhar

Proceedings of the ICPRAM 2015, 2015

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines.

Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines.

Aroor Dinesh Dileep, Chellu Chandra Sekhar

IEEE Trans. Neural Networks Learn. Syst., 2014

Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

Speech Commun., 2014

Concept Level Discriminant Analysis Techniques for Dimension Reduction in Image Classification Tasks.

Ramya K. Raman, C. Chandra Sekhar

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Techniques for Improving the Performance of Image Retrieval using Relevance Feedback.

Shrikant Nayak, C. Chandra Sekhar

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

A Descriptor based on Intensity Binning for Image Matching.

B. Balasanjeevi, C. Chandra Sekhar

Proceedings of the ICPRAM 2014, 2014

2013

HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

IEEE ACM Trans. Audio Speech Lang. Process., 2013

Bayesian mixture of AR models for time series clustering.

Venkataramana B. Kini, C. Chandra Sekhar

Pattern Anal. Appl., 2013

Large margin mixture of AR models for time series classification.

Venkataramana B. Kini, C. Chandra Sekhar

Appl. Soft Comput., 2013

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Speaker recognition using pyramid match kernel based support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

Int. J. Speech Technol., 2012

Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification.

B. S. Shajee Mohan, C. Chandra Sekhar

Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2010

Classification of varying length multivariate time series using Gaussian mixture models and support vector machines.

S. Chandrakala, C. Chandra Sekhar

Int. J. Data Min. Model. Manag., 2010

Scene Categorization Using Large Margin Gaussian Mixture Models.

T. Veena, Aroor Dinesh Dileep, Chellu Chandra Sekhar

Proceedings of the 2010 International Conference on Image Processing, 2010

2009

Variational Bayes Adapted GMM Based Models for Audio Clip Classification.

Ved Prakash Sahu, Harendra Kumar Mishra, C. Chandra Sekhar

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features.

S. Chandrakala, C. Chandra Sekhar

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Representation and feature selection using multiple kernel learning.

Aroor Dinesh Dileep, Chellu Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2009

Combination of generative models and SVM based classifier for speech emotion recognition.

Shanmuganathan Chandrakala, Chellu Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2009

Ordering and Elimination Based Component Learning Method.

Sheetal Reddy Pamudurthy, C. Chandra Sekhar

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

Variational Gaussian Mixture Models for Speech Emotion Recognition.

Harendra Kumar Mishra, C. Chandra Sekhar

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech.

Anupam Mandal, K. R. Prasanna Kumar, G. Athithan, C. Chandra Sekhar

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

Model Based Clustering of Audio Clips Using Gaussian Mixture Models.

S. Chandrakala, C. Chandra Sekhar

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008

Hyperparameters of Gaussian process as features for trajectory classification.

G. Haranadh, C. Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2008

A density based method for multivariate time series clustering in kernel feature space.

S. Chandrakala, C. Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2008

Large margin AR model for time series classification.

Venkataramana B. Kini, C. Chandra Sekhar

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

An SVM Based Approach to Cross-Language Adaptation for Indian Languages.

A. Vijaya Rama Raju, C. Chandra Sekhar

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Signal processing based segmentation and hmm based acoustic clustering of syllable segments for low bit rate segment vocoder at 1.4 Kbps.

Sadhana Chevireddy, Hema A. Murthy, C. Chandra Sekhar

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space.

R. Anitha, C. Chandra Sekhar

Proceedings of the Advances in Neural Networks, 2007

Local Density Estimation based Clustering.

Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2007

Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines.

R. Anitha, C. Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2007

Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons.

Lakshmi Narayana Panuku, C. Chandra Sekhar

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching.

Venkataramana B. Kini, C. Chandra Sekhar

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction.

Venkataramana B. Kini, C. Chandra Sekhar

Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts.

H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy

Proceedings of the Artificial Neural Networks, 2007

Clustering of Nonlinearly Separable Data Using Spiking Neural Networks.

Lakshmi Narayana Panuku, C. Chandra Sekhar

Proceedings of the Artificial Neural Networks, 2007

2006

Kernel based Clustering and Vector Quantization for Speech Segmentation.

D. Srikrishna Satish, C. Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2006

Identification of Block Ciphers using Support Vector Machines.

Aroor Dinesh Dileep, Chellu Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models.

Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana

Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

2004

Detection of vowel on set points in continuous speech using autoassociative neural network models.

Suryakanth V. Gangashetty, Chellu Chandra Sekhar, B. Yegnanarayana

Proceedings of the INTERSPEECH 2004, 2004

A Fast and Efficient Face Detection Technique Using Support Vector Machine.

R. Suguna, N. Sudha, C. Chandra Sekhar

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Kernel Based Clustering for Multiclass Data.

D. Srikrishna Satish, C. Chandra Sekhar

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances.

Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances.

C. Chandra Sekhar, B. Yegnanarayana

IEEE Trans. Speech Audio Process., 2002

Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines.

Chellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura

Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Recognition of continuous speech segments of monophone units using support vector machines.

Weifeng Lee, C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2001

Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines.

Chellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura

Proceedings of the Artificial Neural Networks, 2001

Recognition of consonant-vowel utterances using Support Vector Machines.

Chellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

1998

A Residue Number Arithmetic based Circuit for Pipelined Computation of Autocorrelation Coefficients of Speech Signal.

Ansgar Drolshagen, Walter Anheier, C. Chandra Sekhar

Proceedings of the 11th International Conference on VLSI Design (VLSI Design 1991), 1998

1996

Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech.

C. Chandra Sekhar, B. Yegnanarayana

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1991

Synthesizing intonation for speech in hindi.

A. S. Madhukumar, S. Rajendran, C. Chandra Sekhar, B. Yegnanarayana

Proceedings of the Second European Conference on Speech Communication and Technology, 1991

1989

Parsing spoken utterances in an inflectional language.

M. Prakash, G. V. Ramana Rao, C. Chandra Sekhar, B. Yegnanarayana

Proceedings of the First European Conference on Speech Communication and Technology, 1989

1987

An acoustic-phonetic expert for analysis and processing of continuous speech in hindi.

P. Eswar, S. K. Gupta, C. Chandra Sekhar, B. Yegnanarayana, K. Nagamma Reddy

Proceedings of the European Conference on Speech Technology, 1987