Can We Educate People to be Innovative? by Prof. Toru Ishida

Understanding Non-Verbal Communication: Decoding Facial Expressions and Gestures for Seamless Human-Robot Interaction

Prof. Xilin ChenFeb 19, 2024

The Impact of ChatGPT on Artificial Intelligence Research and Social Development

Prof. Chengqi ZhangSep 4, 2023

Cardinality Estimation of Approximate Substring Queries using Deep Learning

Prof. Kyuseok ShimJul 18, 2023

Towards Production Federated Learning Systems

Prof. Baochun LiJun 5, 2023

Bioinformatics Challenges In Complete Genomics And Metagenomics

Prof. Pavel PevznerJun 1, 2023

Improving Object Detection from Repeated Traversals of the Same Route

Prof. Kilian WeinbergerMay 19, 2023

Querying Geo-Textual Data Using Keywords – A Retrospective

Prof. Christian S. JensenApr 28, 2023

People Analytics: Using Digital Exhaust from the Web to Leverage Network Insights in the Algorithmically Infused Workplace

Prof. Noshir ContractorApr 25, 2023

Commodifying Data Exploration

Prof. Sihem Amer-YahiaApr 3, 2023

Towards Sustainable Edge and IoT: An Integral View from the Energy Perspective

Prof. Jiangchuan LiuMar 31, 2023

The State of Representing and Solving Games

Prof. Tuomas SandholmMar 23, 2023

Past, Present, and Future of Feature Extraction

Prof. Tatsuya HaradaMar 7, 2023

Towards Interdisciplinary Education in the Metaverse

Prof. Toru IshidaFeb 9, 2023

The Data Landscape: Trends and Directions

Dr. C. MohanNov 22, 2022

Fairness in Algorithmic Systems: A Reality or a Fantasy?

Dr. Georgia KoutrikaMay 3, 2022

Personal Identity, Artificial Intelligence, and Biometric Entropy

Prof. John DaugmanMar 8, 2022

Challenges in Machine Learning Research

Prof. Masashi SugiyamaFeb 18, 2022

Machine Learning for Big Spatial Data and Applications

Prof. Mohamed MokbelJan 26, 2022

A Vision towards Pervasive Edge Computing

Prof. Yuanyuan YangJul 28, 2021

AI for Social Impact: Results from deployments for public health and conservation

Prof. Milind TambeMay 13, 2021

Can We Educate People to be Innovative?

Prof. Toru IshidaNov 12, 2019

Blockchain in Action: Business Models, Application Examples, and Strategies

Prof. Jian PeiJun 14, 2019

Blockchains Untangled: Public, Private, Smart Contracts, Applications, Issues

Dr. C. MohanApr 12, 2019

From the Edge of Biometrics: What’s Next?

Prof. Anil K. JainOct 15, 2018

Deep Representations, Adversarial Learning and Domain Adaptation for Some Computer Vision Problems

Prof. Rama ChellappaJul 6, 2018

Developmental Brain Storm Optimization Algorithms

Prof. Yuhui ShiJun 26, 2018

Non-iterative Learning Methods

Prof. Ponnuthurai Nagaratnam SuganthanJun 6, 2018

Data-driven Evolutionary Optimization – Integrating Evolutionary Computation, Machine Learning and Data Sciences

Prof. Yaochu JinMay 24, 2018

Enabling High-Quality and Efficient Vehicle Routing using Massive Trajectory Data

Prof. Christian S. JensenApr 10, 2018

Entropic Analysis of Time Evolving Networks

Prof. Edwin R. HancockMar 8, 2018

"How to Achieve Data Analytics and Artificial Intelligence in X" Learning from Experiences at UC Berkeley

Prof. Ikhlaq SidhuJan 23, 2018

Recommender Systems: Beyond Machine Learning

Prof. Joseph A. KonstanJan 10, 2018

Personalized Transfer Learning

Prof. Pascal PoupartNov 21, 2017

Face Clustering at Scale

Prof. Anil K. JainJun 19, 2017

Multimedia over Future Internet: Challenges and Opportunities

Prof. Dapeng Oliver WuJun 14, 2017

Adversarial Signal Processing and The Hypothesis Testing Game

Prof. Mauro BarniMay 23, 2017

50+ Years of Fuzzy Sets: Machine Intelligence and Data to Knowledge

Prof. Sankar K. PalMay 15, 2017

Special Sensing System for Computer Vision

Prof. Yasushi YagiMay 4, 2017

Building a Biomedical Research Digital Commons

Prof. Lucila Ohno-MachadoApr 27, 2017

Visual Domain Adaptation

Prof. Dong XuJan 4, 2017

My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D Printers

Prof. Kui RenDec 14, 2016

Making Sense of Spatial Trajectories

Prof. Xiaofang ZhouJun 29, 2016

New Correlation Filter Designs and Applications

Prof. Vijayakumar BhagavatulaJun 22, 2016

Artificial Intelligence: Key to Chinese Manufacturing 2025

Prof. Tieniu TanMar 22, 2016

Who Goes There? Applications & Challenges of Face Recognition

Prof. Anil K. JainDec 14, 2015

Beauty and the Computer

Prof. Ching Y. SuenNov 10, 2015

Big Data for Everyone

Prof. Jian PeiJun 18, 2015

Biometric Recognition: Technology for Human Recognition

Prof. Anil K. JainApr 22, 2015

Is Computer Vision Pattern Recognition by a Different Name?

Prof. Rama ChellappaMar 26, 2015

Optimization in Machine Learning

Prof. Daniel BoleyFeb 11, 2015

New Challenges in Multi-robot Task Allocation

Prof. Maria GiniFeb 11, 2015

Some Mysteries of Multiplication, and How to Generate Random Factored Integers

Prof. Richard P. BrentFeb 6, 2015

The HDL Lola and its Translation to Verilog

Prof. Niklaus WirthJan 27, 2015

Computers and Computing in the Early Years

Prof. Niklaus WirthJan 23, 2015

The Oberon System on a Field-Programmable Gate Array (FPGA)

Prof. Niklaus WirthJan 20, 2015

Urban Computing - Using Big Data to Solve Urban Challenges

Prof. Yu ZhengDec 2, 2014

Keyword-Based Spatial Web Querying

Prof. Christian S. JensenApr 24, 2014

Preserving Individual and Institutional Privacy in Distributed Regression Models

Prof. Lucila Ohno-MachadoApr 9, 2014

The Evolution of Probabilistic Models and Uncertainty Analysis in Computer Vision Research

Prof. Rama ChellappaMar 20, 2014

The Spiral of Theodorus, Numerical Analysis, and Special Functions

Prof. Walter GautschiMar 14, 2014

Towards Connecting Big Data with Many People

Prof. Jian PeiFeb 11, 2014

Mapping the Next Generation Human Health on a Global Scale: Eight e-Health Mega-Themes & Trends

Prof. Joseph TanDec 17, 2013

Self-Learning Control of Nonlinear Systems based on Iterative Adaptive Dynamic Programming Approach

Prof. Derong LiuNov 18, 2013

Mobile Cloud and Crowd Computing, Communications and Sensing

Prof. Ivan StojmenovicOct 17, 2013

A 50-Year Personal Odyssey in Computer Science

Prof. Victor LesserNov 12, 2012

Fusing Multiple Source of Conflicting Information

Dr. Eugene Santos, Jr.Nov 8, 2011

Dimensionality Reduction for Real-Time Autonomous Systems

Prof. Daniel D. LeeMar 9, 2011

Machine Intelligence, F-granulation and Generalized Rough Sets: Uncertainty Analysis in Pattern Recognition and Mining

Prof. Sankar K. PalMar 3, 2011

Product Form Solutions for Stochastic Networks: Discovery or Invention?

Prof. Erol GelenbeMar 15, 2010

How Precise Documentation Allows Information Hiding to Reduce Software Complexity and Increase its Agility

Prof. David Lorge ParnasSep 1, 2009

Can We Educate People to be Innovative?

Author: Prof. Toru IshidaDate: Nov 12, 2019

Uploaded on Dec 9, 2019
01:09:59

Distinguished Lecture

Can We Educate People to be Innovative?

Author: Prof. Toru IshidaDate: Nov 12, 2019

Uploaded on Dec 9, 2019 01:09:59

Distinguished Lecture

Uploaded on Dec 9, 2019
01:09:59