Dacheng Tao
Dacheng Tao FAA is an engineer from the University of Sydney, Australia. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015[1] for his contributions to pattern recognition and visual analytics. He was awarded an Australian Laureate Fellowship in 2017.[2] In 2018, Tao was also elected a Fellow of the Australian Academy of Science (FAA) for his "ground-breaking contributions in artificial intelligence, computer vision image processing and machine learning.[3] He was elected as an ACM Fellow in 2019 "for contributions to representation learning and its applications".[4] He was selected to the Global Young Academy.
Selected works
- Tao, Dacheng; Xu, Dong; Li, Xuelong, (2009), Semantic mining technologies for multimedia databases, Information Science Reference, ISBN 978-1-60566-188-9CS1 maint: extra punctuation (link) CS1 maint: multiple names: authors list (link)
- Yu, Jun; Tao, Dacheng, 1978-; Institute of Electrical and Electronics Engineers; IEEE Systems, Man, and Cybernetics Society (2013), Modern machine learning techniques and their applications in cartoon animation research (First ed.), Hoboken, New Jersey John Wiley & Sons Inc, ISBN 978-1-118-11514-5CS1 maint: multiple names: authors list (link)
gollark: NVMe, even; it can do a few gigabytes per second.
gollark: My laptop has a fairly fast SSD.
gollark: For compression.
gollark: Since I needed textual data in bulk.
gollark: I decided that the best way to get data was to unpack my ebook library into "files".
References
- "2015 elevated fellow" (PDF). IEEE Fellows Directory.
- "Fellowships and training centres accelerate research capacity". University of Sydney. 5 June 2017. Retrieved 21 January 2018.
- "Professor Dacheng Tao". www.science.org.au. Retrieved 16 June 2018.
- 2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age, Association for Computing Machinery, retrieved 11 December 2019
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