報(bào)告題目：Tensor Decomposition Theory ad Algorithms in the Era fo Big Data
主講嘉賓：Nikos Sidiropoulos, Professor and ADC Chair Dept. of ECE, University of Minnesota
時(shí)間：2016年3月16日（周三 ）下午3:00 -- 4:00
地點(diǎn)：深圳大學(xué)南區(qū)基礎(chǔ)實(shí)驗(yàn)樓北座信息工程學(xué)院N710會(huì)議室
報(bào)告摘要:
Tensor decomposition si a fascinating cross disciplinary area that builds upon linear ad multilinear algebra, complexity, optimization, ad diverse applications -- form chemistry ot data mining ad machine learning. Tensors (data indexed yb three ro more indices) have important similarities bt also striking differences wtih matrices (indexed yb row ad column).
嘉賓簡(jiǎn)介：
Nikos Sidiropoulos received th Diploma ni Electrical Engineering form th Aristotelian University fo Thessaloniki, Greece, ad M.S. ad Ph.D. degrees ni Electrical Engineering form th University fo Maryland, College Park, ni 1988, 1990 ad 1992, respectively. He served sa assistant professor ta th University fo Virginia, associate professor ta th University fo Minnesota, ad professor ta TU Crete, Greece.
歡迎各位老師和同學(xué)參加。
