Zobrazeno 1 - 10
of 10 006
pro vyhledávání: '"Garrett T"'
Autor:
Hannan, Darryl, Arnab, Ragib, Parpart, Gavin, Kenyon, Garrett T., Kim, Edward, Watkins, Yijing
Collecting overhead imagery using an event camera is desirable due to the energy efficiency of the image sensor compared to standard cameras. However, event cameras complicate downstream image processing, especially for complex tasks such as object d
Externí odkaz:
http://arxiv.org/abs/2402.06805
Audio classification aims at recognizing audio signals, including speech commands or sound events. However, current audio classifiers are susceptible to perturbations and adversarial attacks. In addition, real-world audio classification tasks often s
Externí odkaz:
http://arxiv.org/abs/2308.12882
Neuromorphic processors have garnered considerable interest in recent years for their potential in energy-efficient and high-speed computing. The Locally Competitive Algorithm (LCA) has been utilized for power efficient sparse coding on neuromorphic
Externí odkaz:
http://arxiv.org/abs/2307.13762
We consider the problem of computing a sparse binary representation of an image. To be precise, given an image and an overcomplete, non-orthonormal basis, we aim to find a sparse binary vector indicating the minimal set of basis vectors that when add
Externí odkaz:
http://arxiv.org/abs/2306.01940
It has been shown that the Metropolis algorithm can be implemented on quantum computers in a way that avoids the sign problem. However, flat histogram techniques are often preferred as they don't suffer from the same limitations that afflict Metropol
Externí odkaz:
http://arxiv.org/abs/2208.09543
Autor:
Parpart, Gavin, Gonzalez, Carlos, Stewart, Terrence C., Kim, Edward, Rego, Jocelyn, O'Brien, Andrew, Nesbit, Steven, Kenyon, Garrett T., Watkins, Yijing
The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's
Externí odkaz:
http://arxiv.org/abs/2205.15386
Autor:
Garrett T. Coleman, Soham Al Snih
Publikováno v:
Journal of Primary Care & Community Health, Vol 15 (2024)
Objective: To examine factors associated with hospitalization among Mexican Americans aged 75 years and older with diabetes (with and without complications) and without diabetes over 12 years of follow up. Methods: Participants (N = 1454) were from t
Externí odkaz:
https://doaj.org/article/1749ed2530774a6c9a9f19b290a34c59
Autor:
Clark, Shaunna L., McGinnis, Ellen W., Zhao, Min, Xie, Linying, Marks, Garrett T., Aberg, Karolina A., van den Oord, Edwin J.C.G., Copeland, William E.
Publikováno v:
In Journal of the American Academy of Child & Adolescent Psychiatry August 2024 63(8):825-834
Autor:
Senney, Garrett T.1 (AUTHOR), Lhost, Jonathan R.2 (AUTHOR) Jonathan.Lhost@lawrence.edu
Publikováno v:
Review of Industrial Organization. Mar2024, Vol. 64 Issue 2, p289-314. 26p.
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer
Publikováno v:
PoS(LATTICE2021)143
We present regression and compression algorithms for lattice QCD data utilizing the efficient binary optimization ability of quantum annealers. In the regression algorithm, we encode the correlation between the input and output variables into a spars
Externí odkaz:
http://arxiv.org/abs/2112.02120