The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice.
The course will cover different aspects of multimodal processing (complementarity vs redundancy; alignment and synchrony; fusion), with an emphasis on the analysis of people, behaviors and interactions from multimodal sensor, using statistical models and deep learning as main modeling tools.
