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: ...

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 ...

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.

Please keep in mind that future weeks are always preliminary and may change.

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

The software may be used experimental and research purposes only. The software may not be distributed to anyone else, and may not be sold in whole or within part of a larger software product, whether ...

SCS has established an endowed research fund to support CMU students and honor the life of Natasha Parker, an SCS undergraduate who continuously gave back to the school. Carnegie Mellon University's ...

Ten Carnegie Mellon doctoral students pursuing artificial intelligence research will receive support from Amazon through the company's new AI Ph.D. Fellowship Program. The students come from across ...

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 ...

There will be weekly written assignments, starting in the first week of classes. Each written assignment consists of 1-3 questions that require students to write single paragraph answers. They are ...

This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group.

This page works through an example of fitting a logistic model with the iteratively-reweighted least squares (IRLS) algorithm. If you'd like to examine the algorithm in more detail, here is Matlab ...