A triangular mesh generator rests on the efficiency of its triangulation algorithms and data structures, so I discuss these first. I assume the reader is familiar with Delaunay triangulations, ...

Machine translation Neural network models for language processing Computational morphology and phonology NLP on noisy text (Twitter, Sina Weibo, etc.) Language modeling Feature induction and ...

Hi there! I am an assistant teaching professor in the machine learning department at Carnegie Mellon University. I primarily teach the department's various Introduction to Machine Learning courses. In ...

Welcome to my website. I am an Associate Professor at Carnegie Mellon University's Robotics Institute. My research focuses on legged systems. I work on principles of legged dynamics and control, their ...

We describe a discrete Laplacian suitable for any triangle mesh, including those that are nonmanifold or nonorientable (with or without boundary). Our Laplacian is a robust drop-in replacement for the ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...

Type theory arose as a codification of Brouwer's program of intuitionism, which sought to develop a foundation for mathematics based on the idea of an effective construction, which we would today call ...

Christopher James Langmead Adjunct Professor Computational Biology Department School of Computer Science Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 Previous Affiliations and ...

In classical planning, we aren't constrained to symbols that only take on true or false values, as we were in propositional logic. Instead, we introduce objects that can represent things in our ...

This course provides a basic introduction to Computer Graphics. Some undergraduate follow-up courses such as Computer Graphics II and Computer Animation are offered on a regular basis. Prerequisites: ...