Dr. Robi Polikar, professor, Electrical and Computer Engineering, Rowan University, Glassboro, NJ
SEMI-SUPERVISED AND ACTIVE LEARNING IN INITIALLY LABELED NONSTATIONARY AND EVOLVING ENVIRONMENTS
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.
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.
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"
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"
Speaker: Dr. Dominique Brunet, NSERC Visiting Fellow at the Cloud Physics and Severe Weather Research Section in Environment Canada.
This paper presents driver simulation results for multi-sensory platform aimed at providing data that are used for driver states classification. This
Computer vision systems can play a role in providing care to individuals living with physical or cognitive disability. In this talk, I will first briefly review vision-based systems to provide assistance to older adults with dementia and to assist with usability studies for this population. I will then present preliminary results on assessing the cognitive status of older adults by way of monitoring common activities of daily living.
You are invited to attend our next UW CPAMI Graduate Seminar, which will include:
Elham Alkabawi will speak on "A Study of Computer Vision-Aided Techniques for Early Diagnosis of Dementia"
You are invited to attend our next UW CPAMI Graduate Seminar, which will include:
Arief Koesdwiady will speak on "Big-Data-Based Intelligent Transportation Systems for Smart Mobility Application"