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Pavan Turaga

Pavan TuragaPavan Turaga (S'05, M'09, SM'14) is an Associate Professor in the School of Arts, Media Engineering, and Electrical Engineering at Arizona State University. He received a B.Tech. degree in electronics and communication engineering from the Indian Institute of Technology Guwahati, India, in 2004, and M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park in 2008 and 2009, respectively. He then spent two years as a research associate at the Center for Automation Research, University of Maryland, College Park. His research interests are in imaging and sensor analytics with a theoretical focus on non-Euclidean and high-dimensional geometric and statistical techniques. He was awarded the Distinguished Dissertation Fellowship in 2009. He was selected to participate in the Emerging Leaders in Multimedia Workshop by IBM, New York, in 2008. He received the National Science Foundation CAREER award in 2015. Read More Read Less

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1.
Image Understanding using Sparse Representations
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Reconstruction-Free Compressive Vision for Surveillance Applications
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3.
Riemannian Computing in Computer Vision
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AED403
Binding:
Paperback
Release:
23 Aug 2016
Language:
English
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4.
Riemannian Computing in Computer Vision
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AED488
Binding:
Hardback
Release:
18 Nov 2015
Language:
English
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5.
Machine Learning for Solar Array Monitoring, Optimization, and Control
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Machine Learning for Solar Array Monitoring, Optimization, and Control
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Reconstruction-Free Compressive Vision for Surveillance Applications
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Image Understanding using Sparse Representations
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Reconstruction-Free Compressive Vision for Surveillance Applications
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10.
Image Understanding Using Sparse Representations
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11.
Machine Learning for Solar Array Monitoring, Optimization, and Control
Publisher: Morgan & Claypool
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AED101
Binding:
Digital (delivered electronically)
Release:
31 Aug 2020
Language:
English
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12.
Reconstruction-Free Compressive Vision for Surveillance Applications
Publisher: Morgan & Claypool
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AED126
Binding:
Digital (delivered electronically)
Release:
02 May 2019
Language:
English
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13.
Foundations and Trends: Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
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Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition
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Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding
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