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The Latest News, Articles, and Events in Signal Processing
The ICIP 2020 technical program will highlight a series of Special Sessions to complement the regular program with emerging topics of particular interest to the image-processing community.
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.
Submission Deadline: March 15, 2020
Call for Proposals Document
Lecture Date: December 10, 2019
Chapter: Seattle
Chapter Chair: Adam Loper
Topic: A Joint Auditory Attention Decoding and Adaptive Beamforming
Optimization Approach for the Challenging Cocktail Party Problem
Over the decades, multiple approaches have been proposed to solve convex programs. The development of interior-point methods allowed solving a more general set of convex programs known as semi-definite and second-order cone programs. However, these methods are excessively slow for high dimensions.
This paper presents the probability hypothesis density filter (PHD) and the cardinality PHD (CPHD) filter for sets of trajectories, which are referred to as the trajectory PHD (TPHD) and trajectory CPHD (TCPHD) filters. Contrary to the PHD/CPHD filters, the TPHD/TCPHD filters are able to produce trajectory estimates from first principles.
Polar codes have gained extensive attention during the past few years and recently they have been selected for the next generation of wireless communications standards (5G). Successive-cancellation-based (SC-based) decoders, such as SC list (SCL) and SC flip (SCF), provide a reasonable error performance for polar codes at the cost of low decoding speed.
In this paper, we design and implement a new on-line portfolio selection strategy based on reversion mechanism and weighted on-line learning. Our strategy, called “Gaussian Weighting Reversion” (GWR), improves the reversion estimator to form optimal portfolios and effectively overcomes the shortcomings of existing on-line portfolio selection strategies.
Recently, a novel method for developing filtering algorithms, based on the interconnection of two Bayesian filters and called double Bayesian filtering, has been proposed. In this manuscript we show that the same conceptual approach can be exploited to devise a new smoothing method, called double Bayesian smoothing.
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,
November 28-Dec. 1, 2019
Registration Deadline: TBA
Location: Dhaka, Bangladesh
Website
In recent years, the commercial audio world has seen an increasing number of application of machine learning in commercial audio products...
Lecture Date: February 3, 2020
Chapter: Utah
Chapter Chair: Mingyu Ji
Topic: Opinion Dynamics in Social Networks
Lecture Date: January 16, 2020
Chapter: Bangalore
Chapter Chair: V. Radhakrishnan
Topic: Towards Autonomous Video Surveillance
Lecture Date: January 14, 2020
Chapter: Pune
Chapter Chair: Dr. V. K. Bairagi
Topic: Towards Autonomous Video Surveillance
Lecture Date: January 12, 2020
Chapter: Mumbai
Chapter Chair: Satyanarayana Bheesette
Topic: User Authentication for Natural User Interfaces
Lecture Date: January 10, 2020
Chapter: Gujarat
Chapter Chair: Suman K. Mitra
Topic: User Authentication for Natural User Interfaces
Lecture Date: January 8, 2020
Chapter: New Delhi
Chapter Chair: Anubha Gupta
Topic: Privacy-Preserving Localization and Recognition of Human Activities
Lecture Date: January 13, 2020
Chapter: Oregon
Chapter Chair: Jinsub Kim
Topic: Modeling and learning social influence from opinion dynamics under attack
Lecture Date: November 11, 2019
Chapter: Tokyo
Chapter Chair: Kazuya Takeda
Topic: Speech technologies at google: an overview
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