Conferences and Meetings on Biometric Technologies

CZES

The main theme of the conference is to address and deliberate on the latest technical status and recent trends in the research and applications of machine learning technologies. The purpose of the conference is to provide an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference is also aimed at motivating the next generation of researchers to promote their interests in machine learning technologies. Machine Learning usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, multimedia, among others. Thus, Signal Processing techniques are very useful for these type of systems to automate processing and analysis techniques to retrieve information from data storage. Topics will range from foundations for real-world systems, and processing, such as speech, language analysis, biomedicine, convergence and complexity analysis, machine learning, social networks, sparse representations, visual analytics, robust statistical methods.

Ms. Sukie Yao;     Phone: [+86-28-83207566];     Email: Vera_qh@outlook.com

Adaptive systems, Business intelligence, Biometrics, Neural net and support vector machine, Hybrid and nonlinear system, Fuzzy set theory, fuzzy control and system, Intelligent and knowledge based system

Neural Networks and Artificial Intelligence, Machine Learning,    Pattern Recognition and Image Processing, Machine Vision

CZES

IWPR was established in 2016 and was successfully held in Tokyo, Japan (2016), Nanyang Technological University, Singapore (2017), University of Jinan, China(2018), Southeast University, China (2019), Virtual Conference (2020). In the last five years, IWPR attracted attendees from more than 15 countries. It was praised for the richness of its social networking, was widely recognized for its continuous adaptation to emerging technical trends, and attracting numerous industry and academic players. The IWPR encompasses all technical aspects of specifying, developing and evaluating the theoretical underpinnings and applied mechanisms of the AI-based components of computer tools such as algorithms, architectures and languages.

Ms. Miya Hu;     Phone: [+86-132-9000-0003];     Email: Vera_qh@outlook.com

Computer Vision, Biomedical Image Analysis, Pattern Recognition and Machine Learning, Image, Speech, Signal and Video Processing, Document Analysis, Biometrics and Pattern Recognition Applications

Pattern Recognition and Image Processing, Machine Vision,    Mechanical engineering

The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes advances in fundamental computer vision, pattern recognition, computer graphics, and machine learning techniques relevant to face, gesture, and body action, new algorithms, and analysis of specific applications. The 16th IEEE International Conference on Automatic Face and Gesture Recognition will be held in Jodhpur, India.

Pattern Recognition and Image Processing, Machine Vision,    Human-Computer Interaction, User Experience

Eastern North American Region International Biometric Society

The ENAR Spring Meeting offers a superb program of short courses, tutorials and roundtables. Presented by well-known experts from academia, government, and industry, the short courses and tutorials will cover a variety of topics including: Bayesian methods in drug development, personalized medicine trial designs, analysis of brain imaging data, data sciences and high performance statistical computing, early phase clinical trials, statistical leadership and influence, graphics for clinical trial data, and software applications for group sequential and adaptive designs, Bayesian modeling and analysis, and multiplicity problems.

International Biometric Society (IBS), Washington, DC