Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Minas Benyamin"'
Publikováno v:
SIAM Journal on Imaging Sciences. 15:324-366
Autor:
Minas Benyamin, Geoffrey H. Goldman
Publikováno v:
IEEE Sensors Letters. 4:1-4
Performance metrics for detecting subpixel motion are calculated for a commercial video camera using image difference data processed with three Neyman–Pearson-based algorithms. High-signal-to-noise-ratio data are collected and analyzed for a thin b
Publikováno v:
SIAM J Imaging Sci
Following the seminal work of Nesterov, accelerated optimization methods have been used to powerfully boost the performance of first-order, gradient based parameter estimation in scenarios where second-order optimization strategies are either inappli
Publikováno v:
J Math Imaging Vis
We further develop a new framework, called PDE acceleration, by applying it to calculus of variation problems defined for general functions on $$\mathbb {R}^n$$, obtaining efficient numerical algorithms to solve the resulting class of optimization pr
Publikováno v:
CVPR
Following the seminal work of Nesterov, accelerated optimization methods have been used to powerfully boost the performance of first-order, gradient-based parameter estimation in scenarios where second-order optimization strategies are either inappli
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII.
Hyperspectral imaging provides extensive spectral reflectance information useful for material classification and discrimination not available with conventional broadband imaging. In this work, we first seek to characterize the hyperspectral signature
Publikováno v:
Experts@Minnesota
We further develop a new framework, called PDE Acceleration, by applying it to calculus of variations problems defined for general functions on $\mathbb{R}^n$, obtaining efficient numerical algorithms to solve the resulting class of optimization prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3994cc4b2e1fc0d4d2ee121ce44a89c7
Autor:
Geoffrey H. Goldman, Minas Benyamin
Publikováno v:
The Journal of the Acoustical Society of America. 138:1755-1755
The U.S. Army Research Laboratory is investigating using low size, weight, power, and cost (SWaP-C) acoustic sensors to classify unmanned aircraft systems (UAS). One issue complicating UAS classification using acoustics is that the atmosphere attenua