State of the Society - ICASSP 2015
IEEE Signal Processing Society
How to Publish a Technical Paper with IEEE
In the summer of 2018, the IEEE hosted a series of live authorship workshops in Australia. The workshops focused on how to publish a technical paper with IEEE ...
IEEE Xplore
ICASSP 2013 Awards Ceremony
IEEE Signal Processing Society
Computational Imaging SPACE Webinar Series: Jong Chul Ye, KAIST
IEEE Signal Processing Society
GlobalSIP2013 State of the Society
IEEE Signal Processing Society
Анастасия Мотренко: Выбор моделей прогнозирования
Цель работы. Исследование свойств и разработка новых методов выбора модели в условиях избыточного мультикоррелирующего признакового ...
Machine Learning
Capacitive Sensor Interfaces
Abstract: Capacitive sensors for displacement, proximity and pressure sensing are widely deployed in various consumer, medical, automotive, and industrial ...
IEEE Solid-State Circuits Society
Using AI to Support Proliferating Merchant Changes
AI is becoming omni-present and is influencing the Payments industry in a big way. At VISA, AI driven-products are changing the way we do our business.
Databricks
ICASSP State of the Society 2014
Signal Processing Society State of the Society 2014 (ICASSP 2014)
IEEE Signal Processing Society
Peyman Milanfar plenary: Data-adaptive Filtering and the State of the Art in Image Processing
A plenary talk from SPIE Optics + Photonics 2014 - http://spie.org/op The most effective recent approaches to processing and restoration of images and video are ...
SPIETV
Signal processing on static and dynamic meshes: Sparse representations and applications
Aris S Lalos, Signal processing on static and dynamic meshes: Sparse representations and applications Follow us on LinkedIn: ...
VVR Group
Predictive Touch Demo
An illustration of the Predictive Touch Technology that enables intuitive contact-less/touch-free interactions. For more information (with several references within) ...
Bashar Ahmad
2017-2018 ECE Distinguished Lecture Series - Antonio Ortega, University of Southern California
Antonio Ortega, ECE Distinguished Lecture Series speaker from the University of Southern California spoke on April 4, 2018 in Mitchell Hall. His lecture, entitled ...
University of Delaware
GRAPH SIGNAL PROCESSING FOR MACHINE LEARNING APPLICATIONS: NEW INSIGHTS AND ALGORITHMS
10/18/19 Antonio Ortega Abstract: Graph signal processing (GSP) is an active area of research that seeks to extend to signals defined on irregular graphs tools ...
USC ISI
How to add IEEE INDUSTRY APPLICATIONS SOCIETY MEMBERSHIP?
website link: www.ieee.org.
Nageswar Chedella
تطبيق عملي-مقترح لايجاد مواضيع بحثية جديدة للتخصصات الانسانية والعلمية
Ali H. Al-Timemy
Where Can I Find Free LaTeX Templates for IEEE/Elsevier/Springer Journals?
LaTeX is a document preparation system used by researchers across disciplines to prepare manuscripts. It is especially used in mathematics, physics, computer ...
Enago
Dr. Li Deng: Deep Learning: From Academic Ideas to Industrial Deployment
Date: March 21, 2014 Time: 2:30-3:45 PM Location: 2315, Doherty Hall Instructor: Ralf Brown Speaker: Li Deng Affiliation: Principal Researcher, Microsoft ...
Ting-Hao Huang
Generative Adversarial Networks
A lecture that discusses Generative Adversarial Networks. We discuss generative modeling, latent spaces, semantically meaningful arithmetic in latent space, ...
Paul Hand
Osvaldo Simeone
Cloud Processing for 5G Systems” by Osvaldo Simeone, ECE associate professor.
NJIT
Cortical Mapping with Diffuse Optical Compressed Sensing
Diffuse optical tomography is an emerging non-invasive medical imaging technology which can be used to map the optical properties of biological tissues using ...
UCL EPSRC CDT in i4health
Daniel Rueckert: "Deep learning in medical imaging"
New Deep Learning Techniques 2018 "Deep learning in medical imaging: Techniques for image reconstruction, super-resolution and segmentation" Daniel ...
Institute for Pure & Applied Mathematics (IPAM)
Michael Elad - Sparse Modelling of Data and its Relation to Deep Learning
Speaker: Michael Elad Title: Sparse Modelling of Data and its Relation to Deep Learning Presented at the 2019 Conference on the Mathematical Theory of ...
DeepMath2019
Energy Efficient Communication with Interdependent Source-Channel Coding: an Enhanced Methodology
Authors: N C Resmi, Sonali Chouhan Abstract: The primary design goals of an energy constrained Wireless Sensor Network are energy efficiency and bit error ...
IEEE Sensors
How Nvidia GPUs are reigning 5G
The traditional principles of wireless signal processing are based on decades-old algorithms. Especially when it comes to deploying power-hungry 5G networks, ...
Analytics India Magazine
Gilles Pagès: Optimal vector Quantization: from signal processing to clustering and ...
Abstract: Optimal vector quantization has been originally introduced in Signal processing as a discretization method of random signals, leading to an optimal ...
Centre International de Rencontres Mathématiques
Blind Multi-Microphone Noise Reduction and Dereverberation Algorithms
Blind Multi-Microphone Noise Reduction and Dereverberation Algorithms See more at ...
Microsoft Research
19 02 16 Fan Cheng (National University of Singapore)
Beyond Shannon EPI: a Completely Monotone Conjecture February 19, 2016 Fan Cheng (National University of Singapore) Abstract: Let XX be an arbitrary ...
Institut Henri Poincaré
Cochlear Implant Basic function of speech processor
Most basic function of cochlea in processing frequency and amplitude information and how this information is delivered via a cochlear implant is being described ...
FLANK-Faclilitative Learning in Audiology with NK
Seri-1 Workshop Online Penulisan Makalah Jurnal Internasional IEEE
Penyelenggara: IEEE Indonesia Section Computer Society Chapter Tema: Menyusun Introduction dalam Makalah Pada Jurnal IEEE Dibimbing oleh: Prof.
Admin Info
IEEE Xplote, Parte 1
Capacitación de base de datos IEEE, contiene revistas, proceedings y normas publicadas por el Institute of Electrical and Electronics Engineers (IEEE), este ...
SIBU deSantiago
IEEE Xplore Best Practices and Research Strategies
IEEE Xplore online training webinar to learn best practices and search strategies to optimize your research time. You'll also see a live demo of the newest ...
IEEE Xplore
ISSCC 2019: Deep Learning Hardware: Past, Present, and Future - Yann LeCun
Yann LeCun, Facebook AI Research & New York University, New York, NY Deep learning has caused revolutions in computer understanding of images, audio, ...
ISSCC Videos
Location-aware Communications for 5G Networks
5G networks will be the first generation to benefit from location information that is sufficiently precise to be leveraged in wireless network design and optimization ...
Henk Wymeersch
IIT SRC 2020: prof. M.Rupp: Wireless communications of the Future
Profesor Markus Rupp na pozvanej prednáške k našej študentskej vedeckej konferencii IIT SRC 2020 hovorí o mobilných sieťach 5. generácie.
FIIT STU
IEEE Computer Society Virtual Presidential Candidate Town Hall
Get to know the IEEE Computer Society presidential candidates prior to voting! William D. Gropp and Nita Patel will be on the ballot for the 2021 president-elect ...
ieeeComputerSociety
Alfred Hero | 2018 Distinguished Professor Lecture
Locating the nodes: from sensor arrays to genomic networks” This lecture is presented by Alfred O. Hero in honor of being named the John H. Holland ...
University of Michigan Engineering
Tutorial: Large-Scale Distributed Systems for Training Neural Networks
Over the past few years, we have built large-scale computer systems for training neural networks, and then applied these systems to a wide variety of problems ...
Microsoft Research
Sampling Sparse Signals with Finite Rate of Innovation: Theory and Biomedical Applications
Applied Harmonic Analysis 2012 Pina Maziliano (Nanyang Tech. University) / 2012-06-18.
Mathnet Korea
José del R. Millán: Brain-Machine Interfaces: The Perception-Action Closed Loop
EECS Colloquium, UC Berkeley Wednesday, September 7, 2016 Future neuroprosthetics will be tightly coupled with the user in such a way that the resulting ...
UC Berkeley EECS Events
Yann LeCun - Graph Embedding, Content Understanding, and Self-Supervised Learning
Institut des Hautes Études Scientifiques (IHÉS)
Talk by Nikos Sidiropoulos at ECE TUC (Jul 14, 2017)
Title: Tensors and Probability: An Intriguing Union Speaker: Prof. Nikos Sidiropoulos (University of Minnesota, USA) Abstract We reveal an interesting link ...
ECE TUC
