Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
This paper describes work in progress on the research project CWSpace, sponsored by the MIT and Microsoft Research iCampus program, to investigate the metadata standards and protoc...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...