Search Results for author: Oceane Bel

Found 3 papers, 1 papers with code

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security

no code implementations21 Oct 2024 Nathan Tallent, Jan Strube, Luanzheng Guo, Hyungro Lee, Jesun Firoz, Sayan Ghosh, Bo Fang, Oceane Bel, Steven Spurgeon, Sarah Akers, Christina Doty, Erol Cromwell

Pacific Northwest National Laboratory's LDRD "Cloud, High-Performance Computing (HPC), and Edge for Science and Security" (CHESS) has developed a set of interrelated capabilities for enabling distributed scientific workflows and curating datasets.

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation

1 code implementation9 Apr 2024 Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven Spurgeon, Christina Doty, Ali Jannesari

To enable rapid adaptation of the best segmentation technology, we propose the concept of semantic boosting: given a zero-shot foundation model, guide its segmentation and adjust results to match domain expectations.

Autonomous Driving Image Segmentation +2

The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning

no code implementations5 Dec 2023 Omer Subasi, Oceane Bel, Joseph Manzano, Kevin Barker

With the advance of the powerful heterogeneous, parallel and distributed computing systems and ever increasing immense amount of data, machine learning has become an indispensable part of cutting-edge technology, scientific research and consumer products.

Deep Learning Distributed Computing +1

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