The CMU Navlab group builds computer-controlled vehicles for automated and assisted driving. Since 1984, we have built a series of robot cars, vans, SUVs, and buses. More recent researches of Navlab ...

Herbert A. Simon's research has ranged from computer science to psychology, administration, and economics, and philosophy. The thread of continuity through all his work has been his interest in human ...

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, ...

I am interested in the performance analysis and design of computer systems, particularly distributed systems. I use analytical models to capture the important characteristics of a computer system, and ...

(This article was written by Bradley Orner, an engineer and former Amway distributor of 3.5 years.) In the past there have been many postings here dealing with the statistics of success in Amway. Here ...

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 ...

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 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 ...

4.1 Degrees of Freedom of a Rigid Body 4.1.1Degrees of Freedom of a Rigid Body in a Plane 4.1.2 Degrees of Freedom of a Rigid Body in Space ...

The work of the two components of AHC can be accomplished in a unified manner by Watkins' Q-learning algorithm [128, 129]. Q-learning is typically easier to implement. In order to understand ...

This paper develops a shape space framework for collision-aware geometric modeling, where basic geometric operations automatically avoid interpenetration. Shape spaces are a powerful tool for surface ...