About Us
Find out more about our team and facilities.
Welcome to the Vision, Learning and Control (VLC) research group. We are a highly numerate team covering much of the central theory in Electronics, Electrical Engineering and Computer Science. We cover a rich spread of technological areas encompassing control, machine learning and computer vision with a sizeable number of academic staff, PhD researchers and postdocs.
Research
Research in VLC encompasses all aspects of Computer Vision, Machine Learning and Control.
Find Us
Centre for Machine Intelligence launched to...
Computer science experts discussed the key challenges surrounding emerging AI and blockchain technologies at the Centre for Machine Intelligence launch
Read MoreYoung university innovators unveil future...
Pioneering research, including an AI-powered video analytics platform, features at the 2018 Consumer Electronics Show in Las Vegas
Read MoreProfessor Dame Wendy Hall calls for UK to...
A major review of the UK’s burgeoning Artificial Intelligence (AI) industry, co-led by Professor Dame Wendy Hall, has set out proposals for how Government, academia and industry can work together and increase use of AI across the economy.
Read MoreRecent VLC publications
Genome-wide posttranscriptional dysregulation by microRNAs in human asthma as revealed by Frac-seq. - Rocio, Teresa Martinez-Nunez, Hitasha Rupani, Manuela Platé, Mahesan Niranjan, Rachel C. Chambers, Peter H. Howarth and Tilman Sanchez-Elsner
Type: Article
| 2018
| Item not available on this server.
Automated analysis of borehole core imagery from Oman drilling project hole GT2A - Jin Wei Lim, Peter Hopkinson, Michelle Harris, Blair Thornton, Adam Prugel-Bennett and Damon Teagle
Type: Conference or Workshop Item
| 2018
| Item not available on this server.
Extracting mobile behavioral patterns with the distant N-Gram topic model - Katayoun Farrahi and Daniel Gatica-Perez
Type: Conference or Workshop Item
| 2012
| IEEE
| Item not available on this server.
Socio-technical network analysis from wearable interactions - Katayoun Farrahi, Remi Emonet and Alois Ferscha
Type: Conference or Workshop Item
| 2012
| IEEE
| Item not available on this server.
User geospatial context for music recommendation in microblogs - Markus Schedl, Andreu Vall and Katayoun Farrahi
Type: Conference or Workshop Item
| 2014
| ACM
| Item not available on this server.