We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
Pervasive robotics will require, in a near future, small, light and cheap robots that exhibit complex behaviors. These demands led to the development of the M2-M4 Macaco project -...
The intersection of theatre-performance, design, and informatics is a fertile area for a broader understanding of the possible design and interaction between people and avatars in...
Urban search and rescue is a difficult domain for autonomous mobile robots to operate in. The environment can be expected to be highly unstructured, with many obstacles and hazard...