Zobrazeno 1 - 7
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pro vyhledávání: '"Mohamed Gharibi"'
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
Externí odkaz:
https://doaj.org/article/9cce6728187a4fdc95ec260a4c39db46
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
While there exist a plethora of datasets on the Internet related to Food, Energy, and Water (FEW), there is a real lack of reliable methods and tools that can consume these resources. This hinders the development of novel decision-making applications
Externí odkaz:
https://doaj.org/article/07289882be4f4929a0f30f74214d0854
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Proceedings of the 2nd ACM International Conference on Multimedia in Asia.
We present a system for large-scale image retrieval on everyday scenes with common objects. Our system leverages advances in deep learning and natural language processing (NLP) for improved understanding of images by capturing the relationships betwe
Autor:
Praveen Rao, Mohamed Gharibi
Publikováno v:
AIPR
Federated learning (FL) is a machine learning approach where the goal is to train a centralized model using a large number of clients that host private datasets. FL trains a smaller version of the model at each dataset site and then aggregates all th
Publikováno v:
ICMR
In this paper, we propose a system for large-scale image retrieval on everyday scenes with common objects by leveraging advances in deep learning and natural language processing (NLP). Unlike recent state-of-the-art approaches that extract image feat
Publikováno v:
Frontiers in Big Data
Frontiers in Big Data, Vol 3 (2020)
Frontiers in Big Data, Vol 3 (2020)
While there exist a plethora of datasets on the Internet related to Food, Energy, and Water (FEW), there is a real lack of reliable methods and tools that can consume these resources. This hinders the development of novel decision-making applications