Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

Localization, that is the estimation of a robot's location from sensor data, is a fundamental problem in mobile robotics. This papers presents a version of Markov localization which provides accurate ...

To anyone who has makes a serious study of Amway and the problems that have for so long plagued it, one thing becomes overwhelmingly obvious: if there is any one primary cause for almost all those ...

SEPA readings are from Pressman, Software Engineering: A Practitioner's Approach. They are optional (since the text is optional), but may be a useful supplement to the lectures. Other (non-SEPA) ...

I am currently the chair of CATCS . Please check it out - we welcome any suggestions. I was the PC chair of SODA, 2024 . The accepted papers are here. An alternative talk schedule format is here. A ...

This short course is a quick review of linear algebra, intended for students who have already taken a previous course in linear algebra or have some experience with vectors and matrices. The goal of ...

Event Reconstruction Tool - DEMO VIDEO Cognitive Assistance for Medical Device Use Website; - DEMO VIDEO Marauder's Map for Long Term Monitoring of Elderly Patients - DEMO VIDEO Large-Scale Processing ...

The correct spelling is "Gray"---not "gray", "Grey", or "grey"--- since Gray codes are named after the Frank Gray who patented their use for shaft encoders in 1953 [1]. Gray codes actually have a ...

The advent of large-scale training has produced a cornucopia of powerful visual recognition models. However, generative models, such as GANs, have traditionally been trained from scratch in an ...

I am a Researcher of the Visual Computing Group at Microsoft Research Asia. I received my PhD from The University of Tokyo in 2007 under the supervision of Prof. Katsushi Ikeuchi. After the graduation ...