説明
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Part 2:
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Program Schedule for Part 2, Workshop on Tensor Representation for Machine Learning
＊You can start each talk by clicking the time (h:m:s) before the speaker’s name.
00:00:06 Tatsuya Yokota (Nagoya Institute of Technology / RIKEN AIP): “Plug-and-Play of Least Squares based Tensor Decomposition Algorithms for Tensor Learning”
00:30:30 Jingcai Guo (Hong Kong Polytechnic University): “Towards Fine-Grained Analysis in Zero-Shot Learning”
01:00:06 Delu Zeng (South China University of Technology): “Some Developments in Density Ratio Estimation for Statistical Inference”
01:30:30 Cesar F. Caiafa (Instituto Argentino de Radioastronomía / RIKEN AIP): “The importance of low-dimensional data models for machine learning with incomplete or compressed data samples”
02:00:21 “Discussion: Future Directions in Tensor Research”
Related video:
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Part 1:
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Part 1 URL
