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pro vyhledávání: '"Buche P"'
Scene Graph Generation (SGG) is a task that encodes visual relationships between objects in images as graph structures. SGG shows significant promise as a foundational component for downstream tasks, such as reasoning for embodied agents. To enable r
Externí odkaz:
http://arxiv.org/abs/2405.16116
The paper explores the use of dynamic adaptation gain/step size (DAG) for improving the adaptation transient performance of variable step-size LMS (VS-LMS) adaptation algorithms. A generic form for the implementation of the DAG within the VS-LMS algo
Externí odkaz:
http://arxiv.org/abs/2404.12672
The paper explores in detail the use of dynamic adaptation gain/step size (DAG) for improving the adaptation transient performance of variable step-size LMS (VS-LMS) adaptation algorithms. A generic form for the implementation of the DAG within the V
Externí odkaz:
http://arxiv.org/abs/2403.13381
Autor:
Buche, Michael R., Rimsza, Jessica M.
Publikováno v:
Phys. Rev. E 108, 064503 (2023)
Single-molecule stretching experiments are widely utilized within the fields of physics and chemistry to characterize the mechanics of individual bonds or molecules, as well as chemical reactions. Analytic relations describing these experiments are v
Externí odkaz:
http://arxiv.org/abs/2309.01009
Learning to compose visual relationships from raw images in the form of scene graphs is a highly challenging task due to contextual dependencies, but it is essential in computer vision applications that depend on scene understanding. However, no curr
Externí odkaz:
http://arxiv.org/abs/2305.18668
This article offers a literature review of goalkeeper robots in the context of the RoboCupSoccer competition. The latter is one of the various league categories hosted by the RoboCup Federation, which fosters AI and Robotics with their landmark chall
Externí odkaz:
http://arxiv.org/abs/2303.12635
Autor:
Claire Mayer-Laigle, Johnny Beaugrand, Alain Bourmaud, Lena Brionne, Thibault Colinart, Stephane Dervaux, Charlène Fabre, Marie-Joo le Guen, Kolja Konschak, Gabriel Paës, Cécile Sotto, Magalie Weber, Patrice Buche
Publikováno v:
Data in Brief, Vol 56, Iss , Pp 110787- (2024)
The diversity of the plant biomass available on earth makes plants an exceptional resource for replacing fossil resources in green chemistry, bioenergy and biobased materials. For numerous applications, and especially the high-tech ones (building blo
Externí odkaz:
https://doaj.org/article/5617e747645c4040b534f71206038e39
Autor:
Buche, Michael R., Grutzik, Scott J.
Publikováno v:
Phys. Rev. E 109, 015001 (2024)
Analytic relations that describe crack growth are vital for modeling experiments and building a theoretical understanding of fracture. Upon constructing an idealized model system for the crack and applying the principles of statistical thermodynamics
Externí odkaz:
http://arxiv.org/abs/2212.00864
Machine learning has proved useful in many software disciplines, including computer vision, speech and audio processing, natural language processing, robotics and some other fields. However, its applicability has been significantly hampered due its b
Externí odkaz:
http://arxiv.org/abs/2207.06196
Publikováno v:
Phys. Rev. E 106, 024502 (2022)
Analytical relations for the mechanical response of single polymer chains are valuable for modeling purposes, on both the molecular and the continuum scale. These relations can be obtained using statistical thermodynamics and an idealized single-chai
Externí odkaz:
http://arxiv.org/abs/2203.05421