Zobrazeno 1 - 10
of 615
pro vyhledávání: '"Johnson, Jacob"'
Autor:
Johnson, Jacob A., Heaton, Matthew J., Christensen, William F., Warr, Lynsie R., Rupper, Summer B.
Autoencoders are powerful machine learning models used to compress information from multiple data sources. However, autoencoders, like all artificial neural networks, are often unidentifiable and uninterpretable. This research focuses on creating an
Externí odkaz:
http://arxiv.org/abs/2403.07822
Continuous-time trajectory estimation is an attractive alternative to discrete-time batch estimation due to the ability to incorporate high-frequency measurements from asynchronous sensors while keeping the number of optimization parameters bounded.
Externí odkaz:
http://arxiv.org/abs/2402.00399
Autor:
Heaton, Matthew J, Johnson, Jacob A.
Gaussian processes (GPs) are a highly flexible, nonparametric statistical model that are commonly used to fit nonlinear relationships or account for correlation between observations. However, the computational load of fitting a Gaussian process is $\
Externí odkaz:
http://arxiv.org/abs/2310.17766
Autor:
Johnson, Jacob K., Marasović, Ana
Contrast set consistency is a robustness measurement that evaluates the rate at which a model correctly responds to all instances in a bundle of minimally different examples relying on the same knowledge. To draw additional insights, we propose to co
Externí odkaz:
http://arxiv.org/abs/2310.13781
Constrained robot motion planning is a ubiquitous need for robots interacting with everyday environments, but it is a notoriously difficult problem to solve. Many sampled points in a sample-based planner need to be rejected as they fall outside the c
Externí odkaz:
http://arxiv.org/abs/2309.15272
Autor:
Johnson, Jacob
Detta arbete är till för musiker som vill förbättra sitt solospel på sitt instrument och lära sig mera och metoder för hur man kan förbättra sitt spel. Med det här arbetet har jag transkriberat trumsolon och analyserat väldigt b
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-98082
Large offline learning-based models have enabled robots to successfully interact with objects for a wide variety of tasks. However, these models rely on fairly consistent structured environments. For more unstructured environments, an online learning
Externí odkaz:
http://arxiv.org/abs/2307.10063
Motion planning is integral to robotics applications such as autonomous driving, surgical robots, and industrial manipulators. Existing planning methods lack scalability to higher-dimensional spaces, while recent learning based planners have shown pr
Externí odkaz:
http://arxiv.org/abs/2306.00851
Autor:
Johnson, Jacob
This study has explored how couples raising children on the autism spectrum negotiate intimacy in their marriages/committed partnerships as well as what contextual factors influence these process and how they change over time. Twelve couples currentl
Externí odkaz:
http://hdl.handle.net/10919/64290
Autor:
Laughon, Madeleine E.1, Johnson, Jacob K.1, Greenberg, Rachel G.2, Clark, Reese H.3, Jackson, Wesley M.1 wesley.jackson@unc.edu
Publikováno v:
Scientific Reports. 8/17/2024, Vol. 14 Issue 1, p1-4. 4p.
