A Conceptual Model for Interaction in Multiple Representational Spaces. - K. Seetharaman; Georges G. Grinstein; Haim Levkowitz; R. Daniel Bergeron (ICCG, 1993)

A statistical framework based on a family of full range autoregressive models for edge extraction. - K. Seetharaman; R. Krishnamoorthi (Pattern Recognit. Lett., 2007)

Image compression based on a family of stochastic models. - R. Krishnamoorthi; K. Seetharaman (Signal Process., 2007)

A block-oriented restoration in gray-scale images using full range autoregressive model. - K. Seetharaman (Pattern Recognit., 2012)

Statistical framework for content-based medical image retrieval based on wavelet orthogonal polynomial model with multiresolution structure. - K. Seetharaman; M. Kamarasan (Int. J. Multim. Inf. Retr., 2014)

Statistical distributional approach for scale and rotation invariant color image retrieval using multivariate parametric tests and orthogonality condition. - K. Seetharaman; M. Jeyakarthic (J. Vis. Commun. Image Represent., 2014)

Statistical framework for image retrieval based on multiresolution features and similarity method. - K. Seetharaman; M. Kamarasan (Multim. Tools Appl., 2014)

Image retrieval based on micro-level spatial structure features and content analysis using Full Range Gaussian Markov Random Field model. - K. Seetharaman (Eng. Appl. Artif. Intell., 2015)

A unified learning framework for content based medical image retrieval using a statistical model. - K. Seetharaman; S. Sathiamoorthy (J. King Saud Univ. Comput. Inf. Sci., 2016)

Statistical Distribution-based Color Image Retrival. - K. Seetharaman; W. T. Chembian (ICGSP, 2017)

Medical Surgical Video Recognition and Retrieval Based on Novel Unified Approximation. - B. Sathiyaprasad; K. Seetharaman (J. Medical Imaging Health Informatics, 2021)

Video sequence feature extraction and segmentation using likelihood regression model. - B. Satheesh Kumar; K. Seetharaman (Multim. Tools Appl., 2021)

Correction to: Video sequence feature extraction and segmentation using likelihood regression model. - B. Satheesh Kumar; K. Seetharaman (Multim. Tools Appl., 2021)

Design and Development of a Cyber Security Framework for National Time Dissemination. - Amutha Arunachalam; K. Seetharaman; Ashish Agarwal (SN Comput. Sci., 2021)

A hybrid method for biometric authentication-oriented face detection using autoregressive model with Bayes Backpropagation Neural Network. - M. Vasanthi; K. Seetharaman (Soft Comput., 2021)

Content based video retrieval using deep learning feature extraction by modified VGG_16. - B. Satheesh Kumar; K. Seetharaman (J. Ambient Intell. Humaniz. Comput., 2022)

Facial image recognition for biometric authentication systems using a combination of geometrical feature points and low-level visual features. - M. Vasanthi; K. Seetharaman (J. King Saud Univ. Comput. Inf. Sci., 2022)

Satellite Image Retrieval Based on Adaptive Gaussian Markov Random Field Model with Bayes Back-Propagation Neural Network. - C. Poornachandran; W. T. Chembian; K. Seetharaman (SN Comput. Sci., 2022)

Real-time automatic detection and classification of groundnut leaf disease using hybrid machine learning techniques. - Suresh; K. Seetharaman (Multim. Tools Appl., 2023)

Satellite imagery retrieval based on adaptive Gaussian-Markov random field model with Bayes deep convolutional neural network. - K. Seetharaman; M. Vasanthi (Soft Comput., 2024)