Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Michael Pekala"'
Autor:
Philippe Burlina, Niranjan Joshi, Neil M. Bressler, T. Y. Alvin Liu, Michael Pekala, D. Cabrera DeBuc
Publikováno v:
Computers in biology and medicine. 114
We look at the recent application of deep learning (DL) methods in automated fine-grained segmentation of spectral domain optical coherence tomography (OCT) images of the retina. We describe a new method combining fully convolutional networks (FCN) w
Publikováno v:
SIGSPATIAL/GIS
This paper considers attacks against machine learning algorithms used in remote sensing applications, a domain that presents a suite of challenges that are not fully addressed by current research focused on natural image data such as ImageNet. In par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5696cd4323296062852bc161a8c6d20
Autor:
David E. Freund, Philippe Burlina, Jun Kong, Neil Joshi, Arnaldo Horta, Neil M. Bressler, Katia D. Pacheco, Michael Pekala
Publikováno v:
ICMLA
This work investigates a hybrid method based on random forests and deep image features to combine non-visual side channel information with image data for classification. We apply this to automated retinal image analysis (ARIA) and the detection of ag
Autor:
M. Zink, Raymond J. Staron, Danny L. Carnahan, David A. Cartes, Michael Pekala, David H. Scheidt, Francisco P. Maturana, K. Huang, R. Meeker, Sanjeev Srivastava, Frank Ferrese
Publikováno v:
IEEE Instrumentation & Measurement Magazine. 11:30-37
Integrated ship system control is a challenging domain as it involves a set of highly complex and interdependent systems, including electrical power, electric drive propulsion, high-energy weapon systems, various auxiliary systems, and an underlying
Autor:
Michael Pekala, Joshua T. Vogelstein, Verena Kaynig-Fittkau, Mark A. Chevillet, Hanspeter Pfister, Gregory D. Hager, William Gray Roncal, R. Jacob Vogelstein, Dean M. Kleissas, Randal Burns
Publikováno v:
BMVC
Autor:
Michael Pekala, Katia D. Pacheco, Neil M. Bressler, Philippe Burlina, Neil Joshi, David E. Freund
Publikováno v:
JAMA Ophthalmology. 135:1170
Importance Age-related macular degeneration (AMD) affects millions of people throughout the world. The intermediate stage may go undetected, as it typically is asymptomatic. However, the preferred practice patterns for AMD recommend identifying indiv
Publikováno v:
ICASSP
This paper considers online classification problems where each object to be classified consists of a sequence of measurements, termed here a track. We present an approach that combines ideas from sequential hypothesis testing with those from conforma
Publikováno v:
MLSP
Conformal prediction is a relatively recent approach to classification that offers a theoretical framework for generating predictions with precise levels of confidence. For each new object encountered, a conformal predictor outputs a set of class lab
Autor:
Jeffrey A. Nanzer, Michael Pekala, Dennis Lucarelli, Matthew D. Sharp, Keir C. Lauritzen, I-J. Wang
Publikováno v:
SAM
Beamformers are spatial filters that focus energy in a particular direction while attempting to eliminate interference from other directions. This paper compares several adaptive approaches that seek to provide detection performance equivalent to cla
Autor:
Keir C. Lauritzen, Dennis Lucarelli, Matthew D. Sharp, I-J. Wang, Michael Pekala, H. A. Krichene
Publikováno v:
2011 IEEE RadarCon (RADAR).
We investigate the applicability of sparse signal recovery techniques featured in recent compressed sensing literature to stretch processing, a widely adopted high-range resolution pulse compression technique. We present simulation results suggesting