K. Seetharaman - researchr alias

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Viewing Publication 1 - 21 from 21

2024

Satellite imagery retrieval based on adaptive Gaussian-Markov random field model with Bayes deep convolutional neural networkK. Seetharaman, M. Vasanthi. soco, 28(1):661-684, January 2024. [doi]

2023

Classification of cognitively normal controls, mild cognitive impairment and Alzheimer's disease using transfer learning approachV. P. Subramanyam Rallabandi, K. Seetharaman, Alzheimer's Disease Neuroimaging Initiative. bspc, 79(Part):104092, 2023. [doi]

Real-time automatic detection and classification of groundnut leaf disease using hybrid machine learning techniquesSuresh, K. Seetharaman. mta, 82(2):1935-1963, 2023. [doi]

2022

Content based video retrieval using deep learning feature extraction by modified VGG_16B. Satheesh Kumar, K. Seetharaman. jaihc, 13(9):4235-4247, 2022. [doi]

Satellite Image Retrieval Based on Adaptive Gaussian Markov Random Field Model with Bayes Back-Propagation Neural NetworkC. Poornachandran, W. T. Chembian, K. Seetharaman. sncs, 3(1):31, 2022. [doi]

Facial image recognition for biometric authentication systems using a combination of geometrical feature points and low-level visual featuresM. Vasanthi, K. Seetharaman. jksucis, 34(7):4109-4121, 2022. [doi]

2021

Design and Development of a Cyber Security Framework for National Time DisseminationAmutha Arunachalam, K. Seetharaman, Ashish Agarwal. sncs, 2(2):77, 2021. [doi]

Video sequence feature extraction and segmentation using likelihood regression modelB. Satheesh Kumar, K. Seetharaman. mta, 80(16):24343-24361, 2021. [doi]

Correction to: Video sequence feature extraction and segmentation using likelihood regression modelB. Satheesh Kumar, K. Seetharaman. mta, 80(16):24363, 2021. [doi]

Medical Surgical Video Recognition and Retrieval Based on Novel Unified ApproximationB. Sathiyaprasad, K. Seetharaman. jmihi, 11(11):2733-2746, 2021. [doi]

A hybrid method for biometric authentication-oriented face detection using autoregressive model with Bayes Backpropagation Neural NetworkM. Vasanthi, K. Seetharaman. soco, 25(2):1659-1680, 2021. [doi]

2017

Statistical Distribution-based Color Image RetrivalK. Seetharaman, W. T. Chembian. icgsp 2017: 6-9 [doi]

2016

A unified learning framework for content based medical image retrieval using a statistical modelK. Seetharaman, S. Sathiamoorthy. jksucis, 28(1):110-124, 2016. [doi]

2015

Image retrieval based on micro-level spatial structure features and content analysis using Full Range Gaussian Markov Random Field modelK. Seetharaman. eaai, 40:103-116, 2015. [doi]

2014

Statistical framework for content-based medical image retrieval based on wavelet orthogonal polynomial model with multiresolution structureK. Seetharaman, M. Kamarasan. ijmir, 3(1):53-66, 2014. [doi]

Statistical framework for image retrieval based on multiresolution features and similarity methodK. Seetharaman, M. Kamarasan. mta, 73(3):1943-1962, 2014. [doi]

Statistical distributional approach for scale and rotation invariant color image retrieval using multivariate parametric tests and orthogonality conditionK. Seetharaman, M. Jeyakarthic. jvcir, 25(5):727-739, 2014. [doi]

2012

A block-oriented restoration in gray-scale images using full range autoregressive modelK. Seetharaman. PR, 45(4):1591-1601, 2012. [doi]

2007

Image compression based on a family of stochastic modelsR. Krishnamoorthi, K. Seetharaman. sigpro, 87(3):408-416, 2007. [doi]

A statistical framework based on a family of full range autoregressive models for edge extractionK. Seetharaman, R. Krishnamoorthi. prl, 28(7):759-770, 2007. [doi]

1993

A Conceptual Model for Interaction in Multiple Representational SpacesK. Seetharaman, Georges G. Grinstein, Haim Levkowitz, R. Daniel Bergeron. iccg 1993: 89-98

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