Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Fisher III, John"'
Autor:
Preston, Victoria, Flaspohler, Genevieve, Michel, Anna P. M., Fisher III, John W., Roy, Nicholas
In the expeditionary sciences, spatiotemporally varying environments -- hydrothermal plumes, algal blooms, lava flows, or animal migrations -- are ubiquitous. Mobile robots are uniquely well-suited to study these dynamic, mesoscale natural environmen
Externí odkaz:
http://arxiv.org/abs/2206.01364
In the realm of unsupervised learning, Bayesian nonparametric mixture models, exemplified by the Dirichlet Process Mixture Model (DPMM), provide a principled approach for adapting the complexity of the model to the data. Such models are particularly
Externí odkaz:
http://arxiv.org/abs/2204.08988
Autor:
Liang, Qiaohao, Gongora, Aldair E., Ren, Zekun, Tiihonen, Armi, Liu, Zhe, Sun, Shijing, Deneault, James R., Bash, Daniil, Mekki-Berrada, Flore, Khan, Saif A., Hippalgaonkar, Kedar, Maruyama, Benji, Brown, Keith A., Fisher III, John, Buonassisi, Tonio
In the field of machine learning (ML) for materials optimization, active learning algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous and high-throughput experimentation systems. However, very few studies have e
Externí odkaz:
http://arxiv.org/abs/2106.01309
We present an approach to data fusion that combines the interpretability of structured probabilistic graphical models with the flexibility of neural networks. The proposed method, lightweight data fusion (LDF), emphasizes posterior analysis over late
Externí odkaz:
http://arxiv.org/abs/2011.10607
Robust data association is critical for analysis of long-term motion trajectories in complex scenes. In its absence, trajectory precision suffers due to periods of kinematic ambiguity degrading the quality of follow-on analysis. Common optimization-b
Externí odkaz:
http://arxiv.org/abs/2011.07101
Autor:
Oviedo, Felipe, Ren, Zekun, Hansong, Xue, Tian, Siyu Isaac Parker, Zhang, Kaicheng, Layurova, Mariya, Heumueller, Thomas, Li, Ning, Birgersson, Erik, Sun, Shijing, Mayurama, Benji, Peters, Ian Marius, Brabec, Christoph J., Fisher III, John, Buonassisi, Tonio
Novel photovoltaics, such as perovskites and perovskite-inspired materials, have shown great promise due to high efficiency and potentially low manufacturing cost. So far, solar cell R&D has mostly focused on achieving record efficiencies, a process
Externí odkaz:
http://arxiv.org/abs/2004.13599
Modern vehicles are equipped with increasingly complex sensors. These sensors generate large volumes of data that provide opportunities for modeling and analysis. Here, we are interested in exploiting this data to learn aspects of behaviors and the r
Externí odkaz:
http://arxiv.org/abs/1801.09150
For large scale on-line inference problems the update strategy is critical for performance. We derive an adaptive scan Gibbs sampler that optimizes the update frequency by selecting an optimum mini-batch size. We demonstrate performance of our adapti
Externí odkaz:
http://arxiv.org/abs/1801.09144
Autor:
Fisher III, John C.1 (AUTHOR) john.fisher@ttuhsc.edu, Gerzina, Christopher1 (AUTHOR), Rush, Kaitlin1 (AUTHOR), Caroom, Cyrus1 (AUTHOR)
Publikováno v:
BMC Musculoskeletal Disorders. 9/22/2023, Vol. 24 Issue 1, p1-6. 6p.
To aide simultaneous localization and mapping (SLAM), future perception systems will incorporate forms of scene understanding. In a step towards fully integrated probabilistic geometric scene understanding, localization and mapping we propose the fir
Externí odkaz:
http://arxiv.org/abs/1709.05774