Rakesh Kumar Sanodiya

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Transfer Learning

Unified Framework

Domain Adaptation

Discriminant Analysis

Top Venues

Knowl. Based Syst.

Publications

Shreyash Mishra, Rakesh Kumar Sanodiya
A Novel Angular-Based Unsupervised Domain Adaptation Framework for Image Classification. IEEE Trans. Artif. Intell. 5 (3) (2024)
Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya
PSO-based unified framework for unsupervised domain adaptation in image classification. Appl. Intell. 54 (20) (2024)
Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Wei-Ta Chu
Frequency disentangled residual network. Multim. Syst. 30 (1) (2024)
Aarav Nigam, Rakesh Kumar Sanodiya, Piyush Joshi, Subhangi
Generalized Visual Path Following on Jetbot Using Normalization with Reinforcement Learning. ARSO (2024)
R. Lekshmi, Babita Roslind Jose, Jimson Mathew, Rakesh Kumar Sanodiya
MNEMONIC: Multikernel contrastive domain adaptation for time-series classification. Eng. Appl. Artif. Intell. 133 (2024)
Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya, Priyam Bajpai
A unified framework for visual domain adaptation with covariance matching. Knowl. Based Syst. 278 (2023)
R. Lekshmi, Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew
Kernelized global-local discriminant information preservation for unsupervised domain adaptation. Appl. Intell. 53 (21) (2023)
Devika A. K., Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew
Visual Domain Adaptation through Locality Information. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Satya Rajendra Singh, Rakesh Kumar Sanodiya
Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification. IEEE Access 11 (2023)
Sampreeth Jangala, Rakesh Kumar Sanodiya
A Novel Framework for Multi-Source Domain Adaptation with Discriminative Feature Learning. IJCNN (2023)
Jainendra Prakash, Mrinmoy Ghorai, Rakesh Kumar Sanodiya
Transfer Learning: Kernel-Based Domain Adaptation with Distance-Based Penalization. PReMI (2023)
Obsa Gilo, Jimson Mathew, Samrat Mondal, Rakesh Kumar Sanodiya
RDAOT: Robust Unsupervised Deep Sub-Domain Adaptation Through Optimal Transport for Image Classification. IEEE Access 11 (2023)
Obsa Gilo, Jimson Mathew, Samrat Mondal, Rakesh Kumar Sanodiya
Unsupervised sub-domain adaptation using optimal transport. J. Vis. Commun. Image Represent. 94 (2023)
Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Ravi Ranjan Prasad Karn
Context Unaware Knowledge Distillation for Image Retrieval. CoRR (2022)
Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Ravi Ranjan Prasad Karn
Context Unaware Knowledge Distillation for Image Retrieval. CVMI (2022)
S. Suryavardan, Viswanath Pulabaigari, Rakesh Kumar Sanodiya
Unsupervised Domain Adaptation Supplemented with Generated Images. ICONIP (4) (2022)
Rakesh Kumar Sanodiya, Shreyash Mishra, Satya Rajendra Singh, Arun P. V.
Manifold embedded joint geometrical and statistical alignment for visual domain adaptation. Knowl. Based Syst. 257 (2022)
Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya, Twinkle Sharma, Shreshtha Sharan, Kritika Garg, Jimson Mathew, Leehter Yao
A Feature and Parameter Selection Approach for Visual Domain Adaptation using Particle Swarm Optimization. CEC (2022)
Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha
A Particle Swarm Optimization Based Feature Selection Approach for Multi-source Visual Domain Adaptation. ICONIP (5) (2021)
Rakesh Kumar Sanodiya, Vishnu Vardhan Gottumukkala, Lakshmi Deepthi Kurugundla, Pranav Reddy Dhansri, Ravi Ranjan Prasad Karn, Leehter Yao
A Novel Multi-source Domain Learning Approach to Unsupervised Deep Domain Adaptation. ICONIP (5) (2021)
Rakesh Kumar Sanodiya, Chinmay Sharma, Sai Satwik, Aravind Challa, Sathwik Rao, Leehter Yao
A Novel Metric Learning Framework for Semi-supervised Domain Adaptation. ICONIP (1) (2021)
Rakesh Kumar Sanodiya, Leehter Yao
Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation. Knowl. Based Syst. 227 (2021)
Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha
Multi-source based approach for Visual Domain Adaptation. IJCNN (2021)
R. Lekshmi, Rakesh Kumar Sanodiya, R. J. Linda, Babita Roslind Jose, Jimson Mathew
Kernelized Transfer Feature Learning on Manifolds. ICONIP (2) (2021)
Rakesh Kumar Sanodiya, Jimson Mathew, Rohan Aditya, Ashish Jacob, Bharadwaj Nayanar
Kernelized Unified Domain Adaptation on Geometrical Manifolds. Expert Syst. Appl. 167 (2021)
Rakesh Kumar Sanodiya, Leehter Yao
Unsupervised Transfer Learning via Relative Distance Comparisons. IEEE Access 8 (2020)
Rakesh Kumar Sanodiya, Pranav Kumar, Mrinalini Tiwari, Leehter Yao, Jimson Mathew
A Modified Joint Geometrical and Statistical Alignment Approach for Low-Resolution Face Recognition. ICONIP (1) (2020)
Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha, Piyush Tripathi
Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework. Appl. Intell. 50 (10) (2020)
Rakesh Kumar Sanodiya, Leehter Yao
A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation. Sensors 20 (16) (2020)
Rakesh Kumar Sanodiya, Mrinalini Tiwari, Leehter Yao, Jimson Mathew
A Particle Swarm Optimization Based Joint Geometrical and Statistical Alignment Approach with Laplacian Regularization. ICONIP (5) (2020)
Rakesh Kumar Sanodiya, Mrinalini Tiwari, Jimson Mathew, Sriparna Saha, Subhajyoti Saha
A particle swarm optimization-based feature selection for unsupervised transfer learning. Soft Comput. 24 (24) (2020)
Rakesh Kumar Sanodiya, Debdeep Paul, Leehter Yao, Jimson Mathew, Aparna Juhi
A Feature Selection Approach to Visual Domain Adaptation in Classification. ICONIP (2) (2020)
Rakesh Kumar Sanodiya, Leehter Yao
Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation. IEEE Access 8 (2020)
Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi
Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation. IJCNN (2020)
Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew
Semi-supervised orthogonal discriminant analysis with relative distance : integration with a MOO approach. Soft Comput. 24 (3) (2020)
Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew
A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach. Expert Syst. Appl. 125 (2019)
Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha, Michelle Davies Thalakottur
A New Transfer Learning Algorithm in Semi-Supervised Setting. IEEE Access 7 (2019)
Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Michelle Davies Thalakottur, Utkarshinee Aadya
Multi-objective Approach for Semi-Supervised Discriminant Analysis with Relative Distance. CEC (2019)
Rakesh Kumar Sanodiya, Chinmay Sharma, Jimson Mathew
Unified Framework for Visual Domain Adaptation Using Globality-Locality Preserving Projections. ICONIP (1) (2019)
Rakesh Kumar Sanodiya, Michelle Davies Thalakottur, Jimson Mathew, Matloob Khushi
Semi-supervised Regularized Coplanar Discriminant Analysis. ICONIP (5) (2019)
Rakesh Kumar Sanodiya, Jimson Mathew
A novel unsupervised Globality-Locality Preserving Projections in transfer learning. Image Vis. Comput. 90 (2019)
Rakesh Kumar Sanodiya, Jimson Mathew, Biju Paul, Bijoy Antony Jose
A Kernelized Unified Framework for Domain Adaptation. IEEE Access 7 (2019)
Rakesh Kumar Sanodiya, Jimson Mathew
A framework for semi-supervised metric transfer learning on manifolds. Knowl. Based Syst. 176 (2019)
Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Prateek Bangwal
Semi-supervised Transfer Metric Learning with Relative Constraints. ICONIP (3) (2018)
Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Arpita Raj
Supervised and Semi-supervised Multi-task Binary Classification. ICONIP (4) (2018)
Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew
A Multi-kernel Semi-supervised Metric Learning Using Multi-objective Optimization Approach. ICONIP (2) (2018)