Rakesh Kumar Sanodiya

According to our database, Rakesh Kumar Sanodiya authored at least 45 papers between 2018 and 2024.

Collaborative distances:

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

2024

PSO-based unified framework for unsupervised domain adaptation in image classification.

Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya

Appl. Intell., October, 2024

A Novel Angular-Based Unsupervised Domain Adaptation Framework for Image Classification.

Shreyash Mishra, Rakesh Kumar Sanodiya

IEEE Trans. Artif. Intell., March, 2024

Frequency disentangled residual network.

Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Wei-Ta Chu

Multim. Syst., February, 2024

MNEMONIC: Multikernel contrastive domain adaptation for time-series classification.

R. Lekshmi, Babita Roslind Jose, Jimson Mathew, Rakesh Kumar Sanodiya

Eng. Appl. Artif. Intell., 2024

Generalized Visual Path Following on Jetbot Using Normalization with Reinforcement Learning.

Aarav Nigam, Rakesh Kumar Sanodiya, Piyush Joshi, Subhangi

Proceedings of the IEEE International Conference on Advanced Robotics and Its Social Impacts, 2024

2023

Kernelized global-local discriminant information preservation for unsupervised domain adaptation.

R. Lekshmi, Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew

Appl. Intell., November, 2023

A unified framework for visual domain adaptation with covariance matching.

Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya, Priyam Bajpai

Knowl. Based Syst., October, 2023

Unsupervised sub-domain adaptation using optimal transport.

Obsa Gilo, Jimson Mathew, Samrat Mondal, Rakesh Kumar Sanodiya

J. Vis. Commun. Image Represent., 2023

Visual Domain Adaptation through Locality Information.

Devika A. K., Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew

Eng. Appl. Artif. Intell., 2023

Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification.

Satya Rajendra Singh, Rakesh Kumar Sanodiya

IEEE Access, 2023

RDAOT: Robust Unsupervised Deep Sub-Domain Adaptation Through Optimal Transport for Image Classification.

Obsa Gilo, Jimson Mathew, Samrat Mondal, Rakesh Kumar Sanodiya

IEEE Access, 2023

Transfer Learning: Kernel-Based Domain Adaptation with Distance-Based Penalization.

Jainendra Prakash, Mrinmoy Ghorai, Rakesh Kumar Sanodiya

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

A Novel Framework for Multi-Source Domain Adaptation with Discriminative Feature Learning.

Sampreeth Jangala, Rakesh Kumar Sanodiya

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Manifold embedded joint geometrical and statistical alignment for visual domain adaptation.

Rakesh Kumar Sanodiya, Shreyash Mishra, Satya Rajendra Singh, Arun P. V.

Knowl. Based Syst., 2022

Unsupervised Domain Adaptation Supplemented with Generated Images.

S. Suryavardan, Viswanath Pulabaigari, Rakesh Kumar Sanodiya

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Context Unaware Knowledge Distillation for Image Retrieval.

Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Ravi Ranjan Prasad Karn

Proceedings of the Computer Vision and Machine Intelligence, 2022

A Feature and Parameter Selection Approach for Visual Domain Adaptation using Particle Swarm Optimization.

Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya, Twinkle Sharma, Shreshtha Sharan, Kritika Garg, Jimson Mathew, Leehter Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation.

Rakesh Kumar Sanodiya, Leehter Yao

Knowl. Based Syst., 2021

Kernelized Unified Domain Adaptation on Geometrical Manifolds.

Rakesh Kumar Sanodiya, Jimson Mathew, Rohan Aditya, Ashish Jacob, Bharadwaj Nayanar

Expert Syst. Appl., 2021

Multi-source based approach for Visual Domain Adaptation.

Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha

Proceedings of the International Joint Conference on Neural Networks, 2021

A Particle Swarm Optimization Based Feature Selection Approach for Multi-source Visual Domain Adaptation.

Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Novel Metric Learning Framework for Semi-supervised Domain Adaptation.

Rakesh Kumar Sanodiya, Chinmay Sharma, Sai Satwik, Aravind Challa, Sathwik Rao, Leehter Yao

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Novel Multi-source Domain Learning Approach to Unsupervised Deep Domain Adaptation.

Rakesh Kumar Sanodiya, Vishnu Vardhan Gottumukkala, Lakshmi Deepthi Kurugundla, Pranav Reddy Dhansri, Ravi Ranjan Prasad Karn, Leehter Yao

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Kernelized Transfer Feature Learning on Manifolds.

R. Lekshmi, Rakesh Kumar Sanodiya, R. J. Linda, Babita Roslind Jose, Jimson Mathew

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

A particle swarm optimization-based feature selection for unsupervised transfer learning.

Rakesh Kumar Sanodiya, Mrinalini Tiwari, Jimson Mathew, Sriparna Saha, Subhajyoti Saha

Soft Comput., 2020

Semi-supervised orthogonal discriminant analysis with relative distance : integration with a MOO approach.

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew

Soft Comput., 2020

A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation.

Rakesh Kumar Sanodiya, Leehter Yao

Sensors, 2020

Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework.

Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha, Piyush Tripathi

Appl. Intell., 2020

Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation.

Rakesh Kumar Sanodiya, Leehter Yao

IEEE Access, 2020

Unsupervised Transfer Learning via Relative Distance Comparisons.

Rakesh Kumar Sanodiya, Leehter Yao

IEEE Access, 2020

Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation.

Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Particle Swarm Optimization Based Joint Geometrical and Statistical Alignment Approach with Laplacian Regularization.

Rakesh Kumar Sanodiya, Mrinalini Tiwari, Leehter Yao, Jimson Mathew

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Feature Selection Approach to Visual Domain Adaptation in Classification.

Rakesh Kumar Sanodiya, Debdeep Paul, Leehter Yao, Jimson Mathew, Aparna Juhi

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Modified Joint Geometrical and Statistical Alignment Approach for Low-Resolution Face Recognition.

Rakesh Kumar Sanodiya, Pranav Kumar, Mrinalini Tiwari, Leehter Yao, Jimson Mathew

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

A framework for semi-supervised metric transfer learning on manifolds.

Rakesh Kumar Sanodiya, Jimson Mathew

Knowl. Based Syst., 2019

A novel unsupervised Globality-Locality Preserving Projections in transfer learning.

Rakesh Kumar Sanodiya, Jimson Mathew

Image Vis. Comput., 2019

A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach.

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew

Expert Syst. Appl., 2019

A New Transfer Learning Algorithm in Semi-Supervised Setting.

Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha, Michelle Davies Thalakottur

IEEE Access, 2019

A Kernelized Unified Framework for Domain Adaptation.

Rakesh Kumar Sanodiya, Jimson Mathew, Biju Paul, Bijoy Antony Jose

IEEE Access, 2019

Semi-supervised Regularized Coplanar Discriminant Analysis.

Rakesh Kumar Sanodiya, Michelle Davies Thalakottur, Jimson Mathew, Matloob Khushi

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Unified Framework for Visual Domain Adaptation Using Globality-Locality Preserving Projections.

Rakesh Kumar Sanodiya, Chinmay Sharma, Jimson Mathew

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Multi-objective Approach for Semi-Supervised Discriminant Analysis with Relative Distance.

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Michelle Davies Thalakottur, Utkarshinee Aadya

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Supervised and Semi-supervised Multi-task Binary Classification.

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Arpita Raj

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Semi-supervised Transfer Metric Learning with Relative Constraints.

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Prateek Bangwal

Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Multi-kernel Semi-supervised Metric Learning Using Multi-objective Optimization Approach.

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew

Proceedings of the Neural Information Processing - 25th International Conference, 2018