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Section: Events
Lecture Date: December 17, 2019
Chapter: Poland
Chapter Chair: Piotr Augustyniak
Topic: Towards Autonomous Video Surveillance
AGH University of Science and Technology, Department of
Computer Science, Kraków, Poland
Section: Events
Lecture Date: December 19, 2019
Chapter: Poland
Chapter Chair: Piotr Augustyniak
Topic: Privacy-Preserving Localization and Recognition of Human Activities
University of Rzeszów, Institute of Computer Science, Rzeszów, Poland
Section: Publications & Resources
This webinar, “Toward Efficient and Flexible CNN-based Denoising in Photography,” begins with the design of denoising CNN (DnCNN) model by incorporating residual learning and batch normalization.
Section: Publications & Resources
The list of tables of contents (TOCs) are now available for December 2019. The TOCs are formatted to the style of its publication and offers links to the full issue on the front cover, as well as links to the individual articles in IEEEXplore®; simply mouse-over the article title and click on it.
Section: Events
August 12-14, 2020
NOTE: ICAS 2020 has been postponed to 2021
Location: Montreal, QC, Canada
Section: Publications & Resources
Heat-related injuries have long been a serious focus for the military, and the number reported cases has been climbing sharply in recent years. In 2018, statistics indicated that there were 578 diagnoses cases of heat stroke and more than 2,000 reported incidents of diagnosed heat exhaustion among active service members.
Section: Publications & Resources
In recent years, the commercial audio world has seen an increasing number of application of machine learning in commercial audio products...
Section: Events
November 28-Dec. 1, 2019
Registration Deadline: TBA
Location: Dhaka, Bangladesh
Website
Section: Publications & Resources
Following up on the successful challenge sessions organized during ICIP 2019, we are organizing the 2020 Challenge Sessions with new and more exciting problems that aim at engaging the image and video processing research community.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
In this work, we propose a non-parametric sequential hypothesis test based on random distortion testing (RDT). RDT addresses the problem of testing whether or not a random signal, Ξ , observed in independent and identically distributed (i.i.d) additive noise deviates by more than a specified tolerance, τ , from a fixed model, ξ0 .
