I am an Associate Professor in the Carnegie Mellon Robotics Institute. I think that creativity – making things and ideas! – is the best thing that humans do. So my research involves producing creative ...

Thread operations include thread creation, termination, synchronization (joins,blocking), scheduling, data management and process interaction. A thread does not maintain a list of created threads, nor ...

The Caterpillar and Alice looked at each other for some time in silence: at last the Caterpillar took the hookah out of its mouth, and addressed her in a languid, sleepy voice. `Who are you?' said the ...

What you see is pinyin, literally 'spell out the sound'. It's a system for romanizing Chinese ideograms, used in mainland China for Mandarin, a.k.a. putonghua.

Yubin Kim is a PhD candidate in the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University. Her main research area is information retrieval.

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 ...

普段食べている米でOK、もち米やタイ米なんかで作ってみるのもおもしろい。 （もち米は失敗だった。経験談） 2）水850cc＋少々（米を炊く分） ミネラルウォータがお薦め ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

Research awards: Her research has earned her an Alfred Sloan Fellowship, the 2009 Carnegie Science Center's Emerging Female Scientist Award, an NSF CAREER Award, a Best Paper Award, the 2001 UCSB ...

Software Engineering for Information Systems (SEIS) is a two-semester course sequence offered by the Language Technologies Institute at Carnegie Mellon. The first course, 11-791 (SEIS I), is offered ...

I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.