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Applications of entropic spanning graphs
IEEE Signal Processing Magazine - Tập 19 Số 5 - Trang 85-95 - 2002
A.O. Hero, Bing Ma, O.J.J. Michel, J. Gorman
This article presents applications of entropic spanning graphs to imaging and feature clustering applications. Entropic spanning graphs span a set of feature vectors in such a way that the normalized spanning length of the graph converges to the entropy of the feature distribution as the number of random feature vectors increases. This property makes these graphs naturally suited to applications w...... hiện toàn bộ
#Entropy #Indexing #Image converters #Image registration #Information systems #Software libraries #Biomedical imaging #Information processing #Information retrieval #Content based retrieval
Athanasios Papoulis: Longtime professor and noted author [Obituary]
IEEE Signal Processing Magazine - Tập 19 Số 5 - Trang 12-14 - 2002
Athanasios Papoulis, of Polytechnic University, Brooklyn, NY, a prominent author and passionate educator for four decades, died 25 April in Huntington, Long Island, New York, USA. He was 81. Papoulis distinguished himself in the scientific community for his more than 150 scholarly papers and nine books, including the classic Probability, Random Variables and Stochastic Processes, first published i...... hiện toàn bộ
#Obituary #Papoulis #Athanasios
Stochastic models for capturing image variability
IEEE Signal Processing Magazine - Tập 19 Số 5 - Trang 63-76 - 2002
A. Srivastava
We review a result in modeling lower order (univariate and bivariate) probability densities of pixel values resulting from bandpass filtering of images. Assuming an object-based model for images, a parametric family of probabilities, called Bessel K forms, has been derived (Grenander and Srivastava 2001). This parametric family matches well with the observed histograms for a large variety of image...... hiện toàn bộ
#Stochastic processes #Band pass filters #Gabor filters #Object recognition #Pixel #Filtering #Histograms #Infrared imaging #Matched filters #Laplace equations
Single-pixel imaging via compressive sampling
IEEE Signal Processing Magazine - Tập 25 Số 2 - Trang 83-91 - 2008
Marco F. Duarte, Mark A. Davenport, Dharmpal Takhar, Jason N. Laska, Ting Sun, Kevin F. Kelly, Richard G. Baraniuk
Deep Learning in Neuroimaging: Promises and challenges
IEEE Signal Processing Magazine - Tập 39 Số 2 - Trang 87-98 - 2022
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu‐Ping Wang, Jing Sui, Vince D. Calhoun
A Survey of Dynamic Spectrum Access
IEEE Signal Processing Magazine - Tập 24 Số 3 - Trang 79-89 - 2007
Qing Zhao, Brian M. Sadler
The dual-tree complex wavelet transform
IEEE Signal Processing Magazine - Tập 22 Số 6 - Trang 123-151 - 2005
Ivan Selesnick, Richard G. Baraniuk, Nick Kingsbury
Increasing data rate over wireless channels
IEEE Signal Processing Magazine - Tập 17 Số 3 - Trang 76-92 - 2000
A.F. Naguib, N. Seshadri, A.R. Calderbank
Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure
IEEE Signal Processing Magazine - Tập 31 Số 5 - Trang 80-90 - 2014
Aliaksei Sandryhaila, José M. F. Moura
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison
IEEE Signal Processing Magazine - Tập 37 Số 6 - Trang 43-63 - 2020
David I Shuman
Tổng số: 49   
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