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Rakesh Kumar Sanodiya
Rakesh Kumar Sanodiya
Indian Institute of Information Technology, SriCity
Verified email at iitp.ac.in - Homepage
Title
Cited by
Cited by
Year
A framework for semi-supervised metric transfer learning on manifolds
RK Sanodiya, J Mathew
Knowledge-Based Systems 176, 1-14, 2019
382019
A new transfer learning algorithm in semi-supervised setting
RK Sanodiya, J Mathew, S Saha, MD Thalakottur
IEEE Access 7, 42956-42967, 2019
312019
A Kernelized Unified Framework for Domain Adaptation
RK Sanodiya, J Mathew, B Paul, BA Jos
IEEE Access 7 (1), 181381-181395, 2019
242019
A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach
RK Sanodiya, S Saha, J Mathew
Expert Systems with Applications 125, 233-248, 2019
162019
Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation
S RAKESH,KUMAR, YAO LEEHTER
IEEE ACCESS 8, 200073 - 200090, 2020
132020
A novel unsupervised globality-locality preserving projections in transfer learning
RK Sanodiya, J Mathew
Image and Vision Computing 90, 103802, 2019
132019
Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework
RK Sanodiya, J Mathew, S Saha, P Tripathi
Applied Intelligence 50, 3071-3089, 2020
112020
Manifold embedded joint geometrical and statistical alignment for visual domain adaptation
RK Sanodiya, S Mishra, PV Arun
Knowledge-Based Systems 257, 109886, 2022
102022
A particle swarm optimization-based feature selection for unsupervised transfer learning
RK Sanodiya, M Tiwari, J Mathew, S Saha, S Saha
Soft Computing 24, 18713-18731, 2020
102020
A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation
S RAKESH,KUMAR, YAO LEEHTER
Sensors 20 (16), 4367, 2020
92020
Unsupervised Transfer Learning via Relative Distance Comparisons
S RAKESH,KUMAR, YAO LEEHTER
IEEE ACCESS 8 (2169-3536), 110290-110305, 2020
9*2020
Kernelized unified domain adaptation on geometrical manifolds
RK Sanodiya, J Mathew, R Aditya, A Jacob, B Nayanar
Expert Systems with Applications 167, 114078, 2021
82021
Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation
RK Sanodiya, L Yao
Knowledge-Based Systems 227, 107158, 2021
52021
Frequency disentangled residual network
SR Singh, RR Yedla, SR Dubey, RK Sanodiya, WT Chu
Multimedia Systems 30 (1), 1-13, 2024
42024
Visual domain adaptation through locality information
AK Devika, RK Sanodiya, BR Jose, J Mathew
Engineering Applications of Artificial Intelligence 123, 106172, 2023
42023
Statistical and geometrical alignment using metric learning in domain adaptation
RK Sanodiya, A Mathew, J Mathew, M Khushi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
42020
Unsupervised sub-domain adaptation using optimal transport
O Gilo, J Mathew, S Mondal, RK Sanodiya
Journal of Visual Communication and Image Representation 94, 103857, 2023
32023
Multi-source based approach for visual domain adaptation
M Tiwari, RK Sanodiya, J Mathew, S Saha
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
32021
A Feature Selection Approach to Visual Domain Adaptation in Classification
JA Sanodiya R.K., Paul D., Yao L., Mathew J.
International Conference on Neural Information Processing 12533, pp 77-89, 2020
3*2020
Semi-supervised orthogonal discriminant analysis with relative distance : integration with a MOO approach
RK Sanodiya, S Saha, J Mathew
Soft Computing, 2019
32019
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