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JMM 2018: Tamara G. Kolda, Sandia National Laboratories, gives the SIAM Invited Address on " This video demonstrates an adaptive model reduction approach based on Talk starts at 2:20 Dr. Tamara Kolda from Sandia National Labs speaking in the Data-driven Course: Beginning Arduino Uno Programming in C++ with advanced topics in IoT, Cloud, and Machine Learning Section: ... The Data Science Institute (DSI) hosted a seminar by Joyce Ho from Emory University on July 28, 2023. Read more about the DSI ...
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Tamara G. Kolda: "Tensor Decomposition"
Tensor Decomposition Methods for Cybersecurity
Applied Linear Algebra: Implementing Tensor Decompositions
Tensor Decomposition based Adaptive Model Reduction
Tamara Kolda - Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition
Tensor decomposition and principal component... - Ryo Ishibashi - Function - Abstract - ISMB 2022
lec5 18409 - Tensor Decompositions
0023 - Tensor Decomposition Techniques for bringing AI to the Edge
DSI | Tensor Factorization for Biomedical Representation Learning
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Last Updated: June 25, 2026
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