R Resources Statistical Machine Learning is a second graduate level course in machine learning, assuming students have taken Machine Learning (10-701) and Intermediate Statistics (36-705). The term ...
Consider the words "man", "woman", "boy", and "girl". Two of them refer to males, and two to females. Also, two of them refer to adults, and two to children. We can ...
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 ...
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 ...
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 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 ...
Lectures notes and slides from the SIGGRAPH '97 course, ...
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 ...