Academic Report Notice of Nikhil R Pal:Fuzzy approaches to structure preserving dimensionality reduction for visualization, systems identification, and manifold learning

发布者:王健发布时间:2022-07-15浏览次数:44


Speaker: Academician Nikhil R Pal

Title: Fuzzy approaches to structure preserving dimensionality reduction for visualization,  systems identification, and manifold learning 

Time: 10:30 am, July 16, 2022 (Saturday)

Link: https://teams.microsoft.com/l/meetup-join/19%3aB4gmRcUATAMA2iJqi-xXvtfPFfTbxVJPxSW_pcAPBao1%40thread.tacv2/1638719716825?context=%7b%22Tid%22%3a%2222804ebb-30d5-47df-942f-f3a3722f0225%22%2c%22Oid%22%3a%2216a60c03-ad7a-4b85-a403-8ebd947e010c%22%7d

 

Abstract:

      How relevant is dimensionality reduction in this era of big data/AI/ML when we train networks with about 175 billion free parameters? In my view, it is still relevant and important because even today all problems are not big data problems; all problems do not involve texts and/or images;  and many problems cannot rely on black-box models. Moreover, usually these black-box systems cannot deal with the open-world nature of real-life decision making systems. Consequently, dimensionality reduction, data visualization, transparency of  a decision making system, and its ability to cope with the open-world problems are important. We shall discuss these issues and explain how fuzzy systems can realize the desirable attributes of a decision making system. Next I shall discuss  designing of fuzzy systems for these tasks: dimensionality reduction preserving the geometric structure of the data; an unique integrated approach to feature selection and system identification; and manifold learning when a high dimensional data lie essentially on a lower dimensional manifold. Some of these are first attempts. I shall demonstrate how easily such a system can refrain from making a decision when it should. Finally, I shall discuss some of the problems that need further investigation. 

 

Personal Introduction: 

      Nikhil R. Pal is a Professor in the Electronics and Communication Sciences Unit  and is the Head of the Center for Artificial Intelligence and Machine Learning of the Indian Statistical Institute. His current research interest includes brain science, computational intelligence, machine learning and data mining. He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems for the period January 2005-December 2010. He has served/been serving on the editorial /advisory board/ steering committee  of several  journals including the International Journal of Approximate Reasoning, Applied Soft Computing, International Journal of Neural Systems, Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Cybernetics. He is a recipient of the 2015 IEEE Computational Intelligence Society (CIS) Fuzzy Systems Pioneer Award and 2021 IEEE CIS Meritorious Service Award. He has given many plenary/keynote speeches in different premier international conferences in the area of computational intelligence. He has served as the General Chair, Program Chair, and co-Program chair of several conferences. He has been a Distinguished Lecturer of the IEEE  CIS  (2010-2012, 2016-2018, 2022-2024) and was a member of the Administrative Committee of the IEEE CIS (2010-2012). He has served as the Vice-President for Publications of the IEEE CIS (2013-2016) and the President  of the IEEE CIS (2018-2019). He is a Fellow of the West Bengal Academy of Science and Technology, Institution of Electronics and Tele Communication Engineers, National Academy of Sciences, India, Indian National Academy of Engineering, Indian National Science Academy, International Fuzzy Systems Association (IFSA), The World Academy of Sciences, and a Fellow of the IEEE, USA.  (www.isical.ac.in/~nikhil

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