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Dr. Lraehenbuehl's research interests lie in Computer Vision, Machine learning and Computer Graphics. I'm particularly interested in deep learning, as well as image segmentation and understanding.
Artificial Intelligence and Human-Computer Interaction
Information Retrieval & Search Engines
Crowdsourcing & Human Computation
Natural Language Processing & Human Language…
For up-to-date information, please visit: http://minlee.net
I am an assistant professor in the UT Austin School of Information. I…
Compilers and computer architecture, parallel computing
Neural networks and genetic algorithms. On one hand, the goal is to better understand human information processing, and on the other, to develop more intelligent artificial systems that learn and adapt by observing…
Parallel computer architecture, active/expert database systems, high performance artificial intelligence systems.
Extragalactic Astronomy and Data Analytics
Fault-tolerant hard-real-time systems, cyber-physical systems, computer-aided system design tools, software engineering