Tokyo University of Agriculture and Technology グローバルイノベーション研究院 公開セミナー
Institute of Global Innovation ResearchInstitute of Global Innovation Research Open Seminar

Recent Advances in Signal
Processing and Machine Learning
Thursday, February

27 2020, 16:30 ~ 18:00

東京農工大学 小金井キャンパス会議室         

16:30〜17:00

Speaker 1 : Anh-Huy Phan 特任准教授 (Skoltech)
Title : Novel Algorithms for Tensor-train approximation

言語/英語
Language/English

どなたでもご聴講
いただけますEveryone is welcome
to attend.

Assistant professor of Center for Computational andData-Intensive Science and EngineeringSkolkovo Institute of Science and Technology,Russia

Abstract:

Decompositions of tensors into factor matrices which interact through a core tensor, have found numerous
applications in signal processing and machine learning. A more general tensor model that represents data asan ordered network of subtensors of order-2 or order-3 has, so far, not been widely considered in theseﬁelds, although this so-called tensor network (TN) decomposition has been long studied in quantum physics
and scientiﬁc computing. In this article, we present novel algorithms and applications of TN decompositions,with a particular focus on the tensor train (TT) decomposition and its variants. The novel algorithms
developed for the TT decomposition update, in an alternating way, one or several core tensors at each
iteration and exhibit enhanced mathematical tractability and scalability for large-scale data tensors. For rigor,
the cases of the given ranks, given approximation error, and the given error bound are all considered. The proposed
algorithms provide well-balanced TT-decompositions and are tested in the classic paradigms of blind source separation froma single mixture, denoising, and feature extraction, achieving superior performance over the widely used truncatedalgorithms for TT decomposition.

17:00〜17:30
Speaker 2 : Simone Fiori
Title : Virtual attractive-repulsive potentials extended to manifolds

Associate professor ofUniversità Politecnica delle Marche, Italy
ING-IND/31- Elettrotecnica

Abstract:

In this talk I will summarize a non-linear control theory from a scientific work published in 2005 by Caltech
researchers ("Virtual attractive-repulsive potentials for cooperative control of second order dynamic vehicles")and how it was used to control a small robot. Further, I will show how such control theory may be extended tosmooth manifolds and, at the end,
I will mention how my students and I are trying to employ this theory to achieve self-guidance of an autonomous
quadcopter drone.

17:30〜18:00
Professor of Computer Science and Engineering,
Speaker 3 : Md. Khademul Islam Molla
University of Rajshahi, Bangladesh
Title : Frequency recognition of short-time SSVEP signal
in BCI paradigm using multistage parameter fusion
Abstract:

Brain-computer interface (BCI) refers to the recognition of brain activity leading to generate corresponding
commands to interact with external devices. Due to its safety and high time resolution, electroencephalogram(EEG) based BCIs have become popular. Steady-state visual evoked potential (SSVEP) is an EEG particularly
attractive due to high signal to noise ratio and robustness. Reducing calibration time in SSVEP is ademanding issue in the related research community. A multistage parameter fusion-based approached isstudied to recognize the frequency of short-time SSVEP for brain-computer interface (BCI) implementation.
Two reference signals are generated by averaging the training trial considering a leave-one-out (LOO) method.
The signal of each channel is passed through a filterbank designed to cover all the stimulus frequencies as well as
their harmonics.
A noticeable result is obtained using the method although further improvement is required. We also study on the improvementof frequency recognition with short-time SSVEP using data augmentation.
■共催 / Co-Organized by

グローバルイノベーション研究院 ライフサイエンス分野 田中チーム
Institute of Global Innovation Research, “LIFE SCIENCE” Tanaka Team

小金井キャンパス
koganei Campus

卓越大学院プログラム
Excellent Leader Development for Super Smart Society
by New Industry Creation and Diversity
JST CREST 人工知能「てんかん AI」田中プロジェクト
JST CREST Artiﬁcial Intelligence “Epilepsy AI” Tanaka Project■お問合せ先／Contact
グローバルイノベーション研究院 工学研究院 田中 聡久
Institute of Global Innovation Research, Institute of Engineering
Prof. Toshihisa Tanaka
Email: tanakat (ここに@を入れてください) cc.tuat.ac.jp

講演会場 /Venue

詳細はホームページをご覧ください
Please refer to our website for more information
URL: https://www.tuat-global.jp
https://www.tuat-global.jp/english/

東門
East Gate