Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Gagan Raj"'
Proper use of personal protective equipment (PPE) can save the lives of industry workers and it is a widely used application of computer vision in the large manufacturing industries. However, most of the applications deployed generate a lot of false
Externí odkaz:
http://arxiv.org/abs/2412.05531
Deep learning models have achieved great success in automating skin lesion diagnosis. However, the ethnic disparity in these models' predictions needs to be addressed before deploying them. We introduce a novel approach, PatchAlign, to enhance skin c
Externí odkaz:
http://arxiv.org/abs/2409.04975
In this work, we propose a novel dimensionality reduction technique, DiffRed, which first projects the data matrix, A, along first $k_1$ principal components and the residual matrix $A^{*}$ (left after subtracting its $k_1$-rank approximation) along
Externí odkaz:
http://arxiv.org/abs/2403.05882
Several distributed frameworks have been developed to scale Graph Neural Networks (GNNs) on billion-size graphs. On several benchmarks, we observe that the graph partitions generated by these frameworks have heterogeneous data distributions and class
Externí odkaz:
http://arxiv.org/abs/2311.02399
In an increasingly digitized world, the secure management and trade of digital assets have become a pressing issue. This project aims to address this challenge by developing a decentralized application (dApp) that leverages blockchain technology and
Externí odkaz:
http://arxiv.org/abs/2304.10632
The traditional framework of federated learning (FL) requires each client to re-train their models in every iteration, making it infeasible for resource-constrained mobile devices to train deep-learning (DL) models. Split learning (SL) provides an al
Externí odkaz:
http://arxiv.org/abs/2303.10624
Object movement identification is one of the most researched problems in the field of computer vision. In this task, we try to classify a pixel as foreground or background. Even though numerous traditional machine learning and deep learning methods a
Externí odkaz:
http://arxiv.org/abs/2301.00264
In today's modern digital world, we have a number of online Question and Answer platforms like Stack Exchange, Quora, and GFG that serve as a medium for people to communicate and help each other. In this paper, we analyzed the effectiveness of Stack
Externí odkaz:
http://arxiv.org/abs/2208.10488
Akademický článek
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This paper proposes a new class of online policies for scheduling in input-buffered crossbar switches. Our policies are throughput optimal for a large class of arrival processes which satisfy strong-law of large numbers. Given an initial configuratio
Externí odkaz:
http://arxiv.org/abs/0902.1169