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IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers the theory, design, and applications of neural networks and related learning systems. According to the Journal Citation Reports, the journal had a 2021 impact factor of 14. ...
In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1415–1424) Liu, Y., Jourabloo, A., & Liu, X. (2018). Learning deep models for face anti-spoofing: Binary or auxiliary supervision. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 389–398).
IEEE Xplore provides web access to more than 5 million documents from publications in computer science, electrical engineering, electronics and allied fields. Its documents and other materials comprise more than 300 peer-reviewed journals, more than 1,900 global conferences, more than 11,000 technical standards, almost 5,000 ebooks, and over ...
Fakhreddine (Fakhri) Karray is a Tunisian-Canadian artificial intelligence scientist, electrical and computer engineer, author, and academic.He served as the Loblaws Research Chair of Artificial Intelligence at the University of Waterloo's (UWaterloo) Department of Electrical and Computer Engineering, and as the inaugural co-director of the Waterloo AI Institute at UWaterloo. [1]
The journal covers research in computer vision and image understanding, pattern analysis and recognition, machine intelligence, machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, and face and gesture recognition.
Yixin Chen is a computer scientist, academic, and author.He is a professor of computer science and engineering at Washington University in St. Louis. [1]Chen's research interests are focused on computer sciences, with a particular focus on the fields of machine learning, deep learning, and data mining. [2]
Anandkumar joined the Machine Learning Conference Board of Advisors in 2018. [13] In 2018, Anandkumar joined NVIDIA as director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences. [9] [14] [15] At NVIDIA she opened a new core laboratories in artificial intelligence and machine learning in ...
Jiaya Jia has published 200+ top papers and was cited 80,000+ times on Google Scholar with H-Index 110+. 40+ PhDs and fellows from this group are now active in academia and industry, and have become prominent AI tech leaders as professors, directors in major research labs, and founders of several successful startups.