SignUpInnovative Computing
Harvard,
Updated On 02 Feb, 19
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Harvard,
Updated On 02 Feb, 19
Contents:
Books to Bench to Bedside Informatics for Autism Research - An Introduction to the Dataverse Network as an Infrastructure for Data Sharing - Astronomy as I See It-Statistical Signal Processing for Modern High - Dimensional Data Sets - An Introduction to Computational Multi-physics: Motivations for Triple-M Modeling-Selected Applications Part-Theoretical Background Part - An Introduction to Computational Multi-physics: Selected Applications Part-Examples/Applications Part-Theoretical Background Part - Medical Imaging Computing: From Data to Understanding - From Bio-polymer Translation to Hemo dynamics: New Challenges in Multi-scale Computing
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April 8, 2009 - Patrick Wolfe, Associate Professor of Electrical Engineering, Statistics and Information Sciences Laboratory, School of Engineering and Applied Science, Harvard UniversityModern science and engineering applications give rise to the vast quantities of high-dimensional data. This talk will provide a broad research perspective on the challenges and opportunities of drawing inferences from such data sets. For the large collections of sounds, images and networks acquired by modern sensing devices, traditional signal processing techniques singularly fail to scale, and new approaches are needed. Among the problems to be considered are forensic speech analysis, digital camera design and data reduction for large networks. Can we build practical solutions for these new contexts using the algorithms and tools of classical statistics?
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.
