James M. Hughes
James M. Hughes
CACI Inc.
Verifierad e-postadress på lgsinnovations.com
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Quantitative patterns of stylistic influence in the evolution of literature
JM Hughes, NJ Foti, DC Krakauer, DN Rockmore
Proceedings of the National Academy of Sciences 109 (20), 7682-7686, 2012
1272012
Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder
JM Hughes, DJ Graham, DN Rockmore
Proceedings of the National Academy of Sciences 107 (4), 1279, 2010
1112010
Nonparametric Sparsification of Complex Multiscale Networks
NJ Foti, JM Hughes, DN Rockmore
PloS one 6 (2), e16431, 2011
702011
Empirical Mode Decomposition Analysis for Visual Stylometry
J Hughes, D Mao, D Rockmore, Y Wang, Q Wu
Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011
382011
Statistics, vision, and the analysis of artistic style
DJ Graham, JM Hughes, H Leder, DN Rockmore
Wiley Interdisciplinary Reviews: Computational Statistics, 2011
262011
Bayesian learning of sparse multiscale image representations
JM Hughes, DN Rockmore, Y Wang
IEEE Transactions on Image Processing 22 (12), 4972-4983, 2013
252013
Comparing higher-order spatial statistics and perceptual judgements in the stylometric analysis of art
JM Hughes, DJ Graham, CR Jacobsen, DN Rockmore
Proceedings of the 2011 European Signal Processing Conference, 2011
132011
Stylometrics of artwork: uses and limitations
JM Hughes, DJ Graham, DN Rockmore
Proceedings of SPIE: Computer Vision and Image Analysis of Art, 2010
102010
Pseudo-random Number Generation Using Binary Recurrent Neural Networks
JM Hughes
Senior Individualized Projects. Computer Science., 2007
92007
Non-stationary noise estimation using dictionary learning and Gaussian mixture models
JM Hughes, DN Rockmore, Y Wang
IS&T/SPIE Electronic Imaging, 90190L-90190L-18, 2014
12014
Visual and auditory brain areas share a neural code for perceived emotion
B Sievers, C Parkinson, PJ Kohler, J Hughes, SV Fogelson, T Wheatley
BioRxiv, 254961, 2018
2018
Bayesian statistical models for adaptive image restoration and enhancement
J Hughes
Dartmouth College, 2013
2013
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Artiklar 1–12