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pro vyhledávání: '"Gordon, E"'
Autor:
Susan Y. Sun, Christina Granquist, Sandra R. Montezuma, Rachel Gage, Tu M. Tran, Gordon E. Legge
Publikováno v:
Journal of Visual Impairment & Blindness. 115:277-285
Introduction: We compared the print-to-speech properties and human performance characteristics of two artificial intelligence vision aids, Orcam MyEye 1 (a portable device) and Seeing AI (an iPhone and iPad application). Methods: There were seven par
Autor:
Aili K. Maki, Etta D. Pisano, Martin J. Yaffe, James G. Mainprize, Gordon E. Mawdsley, Mia Skarpathiotakis
Publikováno v:
Med Phys
Purpose In the reconstruction of volume breast images from x-ray projections in breast tomosynthesis, some tomographic systems truncate the image data presented to the radiologist such that a non-negligible amount of tissue may be missing from the br
Autor:
Gordon E. Legge, Sarah H. Creem-Regehr, William B. Thompson, Daniel Kersten, Robert A. Shakespeare, Siyun Liu
Publikováno v:
Leukos
Most people with low vision rely on their remaining functional vision for mobility. Our goal is to provide tools to help design architectural spaces in which safe and effective mobility is possible by those with low vision---spaces that we refer to a
Autor:
Kristina M. Rand, Margaret R. Tarampi, Sarah H. Creem-Regehr, Erica M. Barhorst-Cates, Gordon E. Legge
Publikováno v:
Cognitive Research, Vol 6, Iss 1, Pp 1-18 (2021)
Cognitive Research: Principles and Implications
Cognitive Research: Principles and Implications
People with visual impairment often rely on their residual vision when interacting with their spatial environments. The goal of visual accessibility is to design spaces that allow for safe travel for the large and growing population of people who hav
Autor:
Sheng-Chun Kao, Gordon E. Moon, Sivasankaran Rajamanickam, Tushar Krishna, Eric Qin, Geonhwa Jeong, Hyoukjun Kwon, William Won, Sudarshan Srinivasan, Dipankar Das
Publikováno v:
IPDPS
Sparsity, which occurs in both scientific applications and Deep Learning (DL) models, has been a key target of optimization within recent ASIC accelerators due to the potential memory and compute savings. These applications use data stored in a varie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afd5d7b2782cf7bac7bd12b16c572581
http://arxiv.org/abs/2103.10452
http://arxiv.org/abs/2103.10452
Publikováno v:
Vision Res
The MNREAD chart consists of standardized sentences printed at 19 sizes in 0.1 logMAR steps. There are 95 sentences distributed across the five English versions of the chart. However, there is a demand for a much larger number of sentences: for clini
Autor:
Gordon E. Moon, Hyoukjun Kwon, Tushar Krishna, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam
There is a growing interest in custom spatial accelerators for machine learning applications. These accelerators employ a spatial array of processing elements (PEs) interacting via custom buffer hierarchies and networks-on-chip. The efficiency of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1353acd724bf657bd5c002e54b698c5
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Accessibility of digital text is essential in modern society. The growing use of small mobile displays forces attention to the competing requirements for adequate print size and adequate screen real estate. As print size gets larger, the
Autor:
Srinivasan Parthasarathy, Gordon E. Moon, Aravind Sukumaran-Rajam, P. Sadayappan, J. Austin Ellis
Publikováno v:
KDD
Non-negative Matrix Factorization (NMF) is a key kernel for unsupervised dimension reduction used in a wide range of applications, including graph mining, recommender systems and natural language processing. Due to the compute-intensive nature of app
Autor:
P. Sadayappan, Jinsung Kim, Gordon E. Moon, Eric Fosler-Lussier, Denis Newman-Griffis, Aravind Sukumaran-Rajam
Publikováno v:
MLHPC@SC
The Word2Vec model is a neural network-based unsupervised word embedding technique widely used in applications such as natural language processing, bioinformatics and graph mining. As Word2Vec repeatedly performs Stochastic Gradient Descent (SGD) to