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of 138
pro vyhledávání: '"Singh, Krishna Pratap"'
In Federated Learning, model training is performed across multiple computing devices, where only parameters are shared with a common central server without exchanging their data instances. This strategy assumes abundance of resources on individual cl
Externí odkaz:
http://arxiv.org/abs/2309.00864
In this work, we propose a fast adaptive federated meta-learning (FAM) framework for collaboratively learning a single global model, which can then be personalized locally on individual clients. Federated learning enables multiple clients to collabor
Externí odkaz:
http://arxiv.org/abs/2308.13970
Autor:
Pal, Aniket, Singh, Krishna Pratap
The task of recognising Handwritten Mathematical Expressions (HMER) is crucial in the fields of digital education and scholarly research. However, it is difficult to accurately determine the length and complex spatial relationships among symbols in h
Externí odkaz:
http://arxiv.org/abs/2306.16482
Meta-learning aims to solve unseen tasks with few labelled instances. Nevertheless, despite its effectiveness for quick learning in existing optimization-based methods, it has several flaws. Inconsequential connections are frequently seen during meta
Externí odkaz:
http://arxiv.org/abs/2304.02862
Publikováno v:
In Heliyon 30 June 2024 10(12)
Publikováno v:
Jain, Anamika, Satish Kumar Singh, and Krishna Pratap Singh. "Signature verification using geometrical features and artificial neural network classifier." Neural Computing and Applications 33.12 (2021): 6999-7010
Signature verification has been one of the major researched areas in the field of computer vision. Many financial and legal organizations use signature verification as access control and authentication. Signature images are not rich in texture; howev
Externí odkaz:
http://arxiv.org/abs/2108.02029
Autor:
Patel, Abhishek1 (AUTHOR), Singh, Krishna Pratap2 (AUTHOR), Roul, Ajay Kumar3 (AUTHOR), Nalawade, Rohit Dilip1 (AUTHOR), Mahore, Aman1 (AUTHOR), Kumar, Mohit4 (AUTHOR), Avilala, Prasad5 (AUTHOR), Ramulu, Chelpuri6 (AUTHOR), Kebede, Berhanu7 (AUTHOR) berhanu8067@gmail.com, Patra, Abhik8 (AUTHOR)
Publikováno v:
Scientific Reports. 1/23/2024, Vol. 14 Issue 1, p1-15. 15p.
Autor:
Pal, Aniket, Singh, Krishna Pratap
Publikováno v:
In Applied Soft Computing August 2023 143
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