This paper presents driver simulation results for multi-sensory platform aimed at providing data that are used for driver states classification. This
IEEE World Congress on Computational Intelligence (IEEE WCCI)
Speaker: Dr. Dominique Brunet, NSERC Visiting Fellow at the Cloud Physics and Severe Weather Research Section in Environment Canada.
You are invited to attend our next UW CPAMI Graduate Seminar, which will include:
Dr. Ridha Soua will speak on "Vehicular Sensor Networks: Toward Safer Driving in Connected Vehicles"
You are invited to attend our next UW CPAMI Graduate Seminar, which will include:
PhD candidate Shehroz S Khan will speak on "X-Factor HMMs for detecting falls in the absence of fall-specific training data"
The last few decades have witnessed major evolution in communication networks that impacted the mere essence of human life. Continents that are oceans apart, became just a phone call away and globalization emerged deriving knowledge sharing and culture integration.
Infrared images are by nature fuzzy and noisy, thus the segmentation of human targets from them is a challenging task. In this work, fuzzy Tsallis entropy of background and target are defined respectively according to probability division principle. Next, a newly defined entropy is extended into two dimensions to make full use of spatial information.
Dr. Ling Guan, professor, Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Natural Human-Computer Interaction for the Creation of Life-like Experience in Immersive Environment.
Dr. Robi Polikar, professor, Electrical and Computer Engineering, Rowan University, Glassboro, NJ
SEMI-SUPERVISED AND ACTIVE LEARNING IN INITIALLY LABELED NONSTATIONARY AND EVOLVING ENVIRONMENTS