Archive for April, 2021

AI for Cybersecurity

  The 2021 INFORMS Annual Meeting is a unique opportunity to connect and network with the more than 7,000 INFORMS members, students, prospective employers and employees, and academic and industry experts who compose the INFORMS community. I look forward to seeing you in-person in Anaheim, CA, or participating virtually via our online meeting platform, October […]

2nd International Workshop on Video Retrieval Methods and Their Limits at ICCV 2021, October 2021, online

2nd International Workshop on Video Retrieval Methods and Their Limits at ICCV 2021, October 2021, online====================================================================== With the vastly increasing amount of video data being created, searching in video is a common task in many application areas, such as media and entertainment, surveillance or medicine. Video search is a way to address a user’s information […]

Data Science meets Optimization (DSO) workshop @IJCAI 2021, second CfP

  Data Science Meets Optimisation (DSO) Workshop at IJCAI-21 ==========================================================   August, 2021, Montreal, Canada   **The workshop will be an online event**   https://sites.google.com/view/ijcai2021dso   Important dates

IWANN’21 special session on convolutional NNs

*2021 International Work-Conference on Artificial Neural Networks* *IWANN-2021* *June, 16th-18th, 2021. Online* *http://iwann.uma.es/ <http://iwann.uma.es/>*** It is our great pleasure to announce again you the 16th International Work-Conference on Artificial Neural Networks, which will take place in June, 16th-18th, 2021. Please, find further information about our conference at the website: http://iwann.uma.es/ <http://iwann.uma.es/>. The specific circumstances we […]

First Workshop on “When Graph Signal Processing meets Computer Vision” at ICCV 2021

First Workshop on “When Graph Signal Processing meets Computer Vision” https://gsp-cv.univ-lr.fr/gspcv-21/ Graph signal processing (GSP) [is the study of computational tools to process and analyze data residing on irregular correlation structures described by graphs. Early GSP researchers explored low-dimensional representations of high-dimensional data via spectral graph theory—mathematical analysis of eigen-structures of the adjacency and graph […]

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