17TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS The seventeenth International Conference on Machine Vision Applications will be held at Nagoya Congress Center, Aichi, Japan from July 25 through 27, 2021. The conference is sponsored by the MVA Organization, co-organized by IEICE PRMU and IPSJ SIG-CVIM, and endorsed by IAPR. The aim of this conference is […]
Archive for December 29th, 2020
CFP: 17th International conference on machine vision applications
ICBDA 2021– 6th Intl. Conf. Big Data Analytics
CBDA2019 | ISBN: 978-1-7281-1282-4 | IEEE Xplore | Indexed by Ei & Scopus 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA 2021) Xiamen, China | March 5-8, 2021 http://www.icbda.org ICBDA2019 – IEEE | ISBN: 978-1-7281-1282-4 | IEEE Xplore | Indexed by Ei-Compendex & Scopus 3 months after the conference ICBDA2020 – […]
IEEE NetSoft 2021 in Tokyo, Japan // Paper Submission Extended Deadline is 15 January!
Machine learning is one of the highlighted topics We are seeking technical paper submissions and workshop proposals for the 7th IEEE International Conference on Network Softwarization (IEEE NetSoft 2021), which will be held in Tokyo, Japan from 28 June to 2 July 2021. The conference’s theme is “Accelerating Network Softwarization in the Cognitive Age,” […]
Conferences: CGI 2021 Call for Papers
Camera-ready July 20, 2021 CALL FOR VISUAL COMPUTER JOURNAL PAPERS (FIRST CALL) The scientific program of the conference will include accepted papers from the first call for papers and these accepted papers will be published in the Visual Computer Journal (impact factor 1.45) by Springer-Verlag. The accepted papers from the second call for papers […]
Computational ML, ONLINE, Feb-May 2021
The Continuum Jumpstart Course Computational Machine Learning (ML) for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, design and machine learning algorithms, particularly deep neural networks, and even deploy them on the cloud. You'll learn by programming machine learning algorithms from scratch in a hands-on manner […]