GiRaF is a computational tool for identification of reassortments in influenza viruses from sequence databases of isolates. Reassortments in influenza - a process where strains exchange genetic ...
We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...
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 ...
An association list, or a-list, is a data structure used very frequently in Lisp. An a-list is a list of pairs (conses); each pair is an association. The car of a pair is called the key, and the cdr ...
Realistic image manipulation is challenging because it requires modifying the image appearance in a user-controlled way, while preserving the realism of the result. Unless the user has considerable ...
Meetings time and place: Monday and Wednesday, 3pm-4:20pm, GHC 5222.
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 ...
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 ...
A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing ...
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 ...
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 ...