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The Latest News, Articles, and Events in Signal Processing
Recently, leveraging technological advances and using Big Data approaches for information management and processing in extreme events (e.g., Natural Disasters, Extreme Weather, Emergency Events, Diseases and etc.) have attracted much research attention. Multimedia is increasingly becoming the most important and valuable source for insights and information in extreme events.
We invite symposium proposals for the sixth IEEE Global Conference on Signal and Information Processing (GlobalSIP) which will be held in Anaheim, CA, on November 26-28, 2018. GlobalSIP is a flagship IEEE Signal Processing Society conference that focuses on signal and information processing with an emphasis on up-and-coming signal processing themes.
IEEE has developed a new data repository called IEEE DataPort™ that offers the following benefits to the global technical community at large:
- Accepts and stores datasets up to 2TB in size and can accept multiple file uploads
- Full integration with AWS (Amazon Web Services) to facilitate data analysis in the Cloud
- Persistent Digital Object Identifier (DOI) for each uploaded dataset and analysis
And many more...
In accordance with the provision of Bylaw 303, the Nominations and Appointments Committee hereby solicits your nominations for the following position: Vice President-Technical Directions. Please send your nominations to Theresa Argiropoulos, SPS Senior Manager, Operations, via t.argiropoulos@ieee.org.
Researchers from Facebook AI Research have won the Best Paper Award (Marr Prize) at the 16th International Conference on Computer vision (ICCV) 2017, held in Venice, Italy. The work, named "Mask R-CNN", addresses the problem of instance segmentation, which combines tasks of object detection and semantic segmentation. Below is the presentation given by the first author Kaiming He at the conference.
Cyber security is an increasing worry on many fronts, but typical discussions and headlines focus on very different types of threats than those experienced by aviation and space systems. Cyber security vulnerabilities compromise the control, traffic, navigation, and integrity of these systems. Countermeasures involve not only specialized systems and architectures, but often international cooperation, as the need for awareness extends well beyond the boundaries of a single aircraft.
Sponsored from the IEEE Signal Processing Society, there is a Kaggle contest focusing on identifying the camera that took
an image. Finding footage of a crime caught on tape is an investigator's dream. But even with crystal clear, damning evidence,
one critical question always remains–is the footage real? Today, one way to help authenticate footage is to identify the camera
that the image was taken with.
The Analyst will be a part of team who would be a brain behind building a new voice assistance or Artificial intelligence recognition Apps (like Siri/ Cortana/ Google assistance) for one of our world class mobile customer.
We need Bright Fresher’s who would help us to integrate the NLU engine for upgrade, who plan and execute feature upgrade cycles, who apply regression testing on NLU engine and understand the regression failure cases.
The Biomedical Imaging & Graphics (BIG) lab at the University of Saskatchewan, Canada, led by Dr. Ian Stavness, is hiring a fully-funded PhD Student or Post-doc in Computer Science / Electrical Engineering / Biomedical Engineering to work on deep learning in speech and neural signal processing.
Center for Biomedical Image Analysis of Masaryk University in Brno, Czech Republic, offers postdoc and PhD student positions related to biomedical image analysis.
More information can be found at:
http://cbia.fi.muni.cz/events/job-offer.html
The Lab focuses on sampling, modeling and processing of continuous-time and discrete-time signals and on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.
The Biomedical Imaging & Graphics (BIG) lab at the University of Saskatchewan, Canada, led by Dr. Ian Stavness, is hiring a fully-funded PhD Student or Post-doc in Computer Science / Electrical Engineering / Biomedical Engineering to work on deep learning in speech and neural signal processing.
Nikos Sidiropoulos
Vice President-Membership and Chair, Chapters Review Committee
The IEEE Signal Processing Society Santa Clara Valley Chapter and the Vancouver Chapter have been selected as the recipients of the 2017 Chapter of the Year Award. This is the first year that two chapters have been designated with this honor!
IEEE is transitioning from wire payments and checks to direct wire transfers to your bank, also known as Automated Clearing House (ACH), or direct deposits, as its standard form of payment method for reimbursements to volunteers who work in the United States. Direct deposit of payments is a more efficient, secure method of payment, and has been requested by many of our volunteers for several years.
Webinar Details: Wednesday, 13 December 2017 from 2:30pm - 3:30pm (New York time)
Attendee Registration Link: Register for Webinar, by Dr. Nikos Sidiropoulos
CAMSAP 2017 Plenary - Tensors and Probability: An Intriguing Union: Abstract: We reveal an interesting link between tensors and multivariate statistics. The rank of a multivariate probability tensor can be interpreted as a nonlinear measure of statistical dependence of the associated random variables.
Spy satellites and their commercial cousins orbit Earth like a swarm of space paparazzi, capturing tens of terabytes of images every day. The deluge of satellite imagery leaves U.S. intelligence agencies with the world’s biggest case of FOMO—“fear of missing out”—because human analysts can sift through only so many images to spot a new nuclear enrichment facility or missiles being trucked to different locations.
Neural networks are a set of biologically inspired algorithms that can be used to recognize patterns. Deep neural networks (DNNs) are neural networks that have much more layers in depth than traditional neural networks.
In the past decade, there has been a transformative and permanent revolution in computer vision cultivated by the reinvigorated adoption of deep learning for visual understanding tasks.
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