Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
We describe a virtual mirror interface which can react to people using robust, real-time face tracking. Our display can directly combine a user's face with various graphical ...
Trevor Darrell, Gaile G. Gordon, John Woodfill, Mi...
Object recognition has been widely researched for several decades and in the recent years new methods capable of general object classification have appeared. However very few work ...
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...