Meetings/Workshops on Applied Maths: Pattern Recognition and Image Processing, Machine Vision in the United States (USA)

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ICERM Semester Program on Mathematical and Computational Challenges in Radar and Seismic Reconstruction
06 Sep 2017 - 08 Dec 2017 • Providence, United States
Inversion and imaging with waves is of fundamental importance in both radar and seismic reconstruction. Mathematics provides the key technology in both areas and, despite differing in many important respects, they have much in common in their underlying mathematical frameworks, approaches, and challenges. This semester program will focus on advancing their common mathematical and computational methodologies, as well as selected subjects distinct to each area, in the context of new challenges and opportunities that have arisen in recent years. Both theory and applications will be of interest. Participants will be drawn from academia, industry, and governmental laboratories in order to broadly address theory, applications, and their synergy. There are three associated workshops with this program: September 25 - 29, 2017: Waves and Imaging in Random Media; October 16 - 20, 2017: Mathematical and Computational Aspects of Radar Imaging; November 6 - 10, 2017: Recent Advances in Seismic Modeling and Inversion: From Analysis to Applications.
Seismic Reconstruction, Computation, Radar, Models, inversion, inverse problems.
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VCIP — 2017 IEEE Visual Communications and Image Processing
10 Dec 2017 - 13 Dec 2017 • St. Petersburg, FL, United States
• Next Generation Video/Image Coding • New Media (Point Cloud Capture and Compression, VR, AR, etc.) • Stereo and Multi-view Videos • Low Delay and Multipath Video Communication • Machine Learning for Visual Information Processing • Image/Video Privacy • Cloud Multimedia Systems, Applications and Services • Mobile Multimedia, Wireless Multimedia Communications • Multimedia Content Analysis, Representation, and Understanding • Multimedia and Multimodal User Interfaces and Interaction Models • Multimedia Networking, Multimedia Traffic Management • Massively Scalable Multimedia Service Distribution, Multimedia Broadcasting • Visual Processing Embedded Systems and Architecture Implementations
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WACV — 2018 IEEE Winter Conference on Applications of Computer Vision
11 Mar 2018 - 17 Mar 2018 • Lake Tahoe, NV/CA, United States
WACV brings together algorithm developers, software engineers, program managers and others interested in applied computer vision.
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Connecting The Dots 2018
20 Mar 2018 - 22 Mar 2018 • Seattle, Washington, United States
CTD ; Pattern Recognition ; Tracking ; Charged Particle Reconstruction
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SSIAI — 2018 IEEE Southwest Symposium on Image Analysis and Interpretation
08 Apr 2018 - 10 Apr 2018 • Las Vegas, NV, United States
Computational analysis and interpretation of images and video
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Gordon Research Seminar — Image Science
16 Jun 2018 - 17 Jun 2018 • Stonehill College, Easton, MA, United States
Speed, Depth and Precision in Image Science
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Gordon Research Conference — Image Science
17 Jun 2018 - 22 Jun 2018 • Stonehill College, Easton, MA, United States
Creating Knowledge from Imaging Data
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WACV — 2019 IEEE Winter Conference on Applications of Computer Vision
07 Jan 2019 - 11 Jan 2019 • Waikoloa, Hawaii, HI, United States
WACV conferences provide a forum for computer vision researchers working on practical applications to share their latest developments. WACV 2017 solicits high-quality, original submissions describing research on computer vision applications. Unlike other vision conferences, WACV emphasizes papers on systems and applications with significant, interesting vision components.
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Computer Vision (Semester Program)
04 Feb 2019 - 10 May 2019 • ICERM/Brown University, Providence, United States
Computer vision is an inter-disciplinary topic crossing boundaries between computer science, statistics, mathematics, engineering, and cognitive science. Research in computer vision involves the development and evaluation of computational methods for image analysis. This includes the design of new theoretical models and algorithms, and practical implementation of these algorithms using a variety of computer architectures and programming languages. The methods under consideration are often motivated by generative mathematical models of the world and the imaging process. Recent approaches also rely heavily on machine learning techniques and discriminative models such as deep neural networks. The focus of the program will be on problems that involve modeling, machine learning, and optimization. The program will also bridge a gap between theoretical approaches and practical algorithms, involving researchers with a variety of backgrounds.
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AIP Conference Proceedings
Last updated: 11 November 2017