Publications about 'machine learning'

Books and proceedings

1. Zhi-Hua Zhou. Machine Learning. Springer Singapore, 2021. Keyword(s): Machine Learning, Book on Machine Learning, Computer Science, Learning Algorithms, Neural Networks, Support Vector Machines, Decision Trees, Classification, Clustering, Supervised Learning, Semi-Supervised Learning, Unsupervised Learning, Metric Learning, Feature Selection, Rule Learning, Mathematical Models, Reinforcement Learning, Bayesian Networks, ML, AI, Artificial Intelligence. [Abstract] [bibtex-entry]



2. Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for Machine Learning. Campbridge University Press, 2020. Keyword(s): Machine Learning, Textbook, Introduction to Machine Learning, Mathematical Foundations, Linear Algebra, Analytic Geometry, Matrix Decompositions, Vector Calculus, Probability, Distributions, Optimization, Central Machine Learning Problems, Models and Data, Linear Regression, Dimensionality Reduction, Principle Components Analysis, Density Estimation, Gaussian Mixture, Support Vector Machines. [bibtex-entry]

Articles in journal or book chapters

1. Reza Naderpour, Mike Schwank, Derek Houtz, Charles Werner, and Christian Mätzler. Wideband Backscattering From Alpine Snow Cover: A Full-Season Study. IEEE Transactions on Geoscience and Remote Sensing, 60(4302215):1-15, 2022. Keyword(s): Radar, remote sensing, snow, WBSCAT, wide-band scatterometer, ESA SnowLab. [Abstract] [bibtex-entry]



2. Emanuele Santi, Marco Brogioni, Marion Leduc-Leballeur, Giovanni Macelloni, Francesco Montomoli, Paolo Pampaloni, Juha Lemmetyinen, Juval Cohen, Helmut Rott, Thomas Nagler, Chris Derksen, Joshua King, Nick Rutter, Richard Essery, Cecile Menard, Melody Sandells, and Michael Kern. Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X- and Ku-Bands. IEEE Transactions on Geoscience and Remote Sensing, pp 1-16, 2021. Keyword(s): SAR Processing, Artificial neural networks (ANNs), dense medium radiative transfer (DMRT), quasi Mie scattering (QMS) model, snow depth (SD), snow water equivalent (SWE), SnowSAR, synthetic aperture radar, SAR. [Abstract] [bibtex-entry]



3. Francescopaolo Sica, Andrea Pulella, Matteo Nannini, Muriel Pinheiro, and Paola Rizzoli. Repeat-pass SAR interferometry for land cover classification: A methodology using Sentinel-1 Short-Time-Series. Remote Sensing of Environment, 232:111277, 2019. Keyword(s): Land cover classification, SAR, Interferometric coherence, Sentinel-1, Temporal decorrelation. [Abstract] [bibtex-entry]



4. E.J. Candes and Y. Plan. Matrix Completion With Noise. Proceedings of the IEEE, 98(6):925-936, june 2010. Keyword(s): compressed sensing, convex optimization problem, data constraints, low rank matrices, matrix completion, nuclear norm minimization, data integrity, matrix algebra, minimisation, noise, signal sampling;. [Abstract] [bibtex-entry]

Conference articles

1. D. R. Boyd, A. M. Alam, M. Kurum, A. C. Gurbuz, and B. Osmanoglu. Preliminary Snow Water Equivalent Retrieval of SnowEX20 SWESARR Data. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 3927-3930, July 2022. [Abstract] [bibtex-entry]



2. Andrew Rittenbach and John Paul Walters. Demonstration of a fully neural network based synthetic aperture radar processing pipeline for image formation and analysis. In Sachidananda R. Babu, Arnaud Hélière, and Toshiyoshi Kimura, editors, Sensors, Systems, and Next-Generation Satellites XXV, volume 11858, pages 98 - 109, 2021. International Society for Optics and Photonics, SPIE. Keyword(s): SAR Processing, synthetic aperture radar, onboard processing, SAR image formation and analysis, deep learning based image formation, AI, machine learning, azimuth focusing. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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