LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
This paper presents a system to analyze the reachability of the human body. The inverse kinematics technique is employed to find which regions of space are reachable using a certa...
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
The IODA methodology allows automated construction of models from an ontology, consisting of generic interactions that we can assign to families of agents. Thanks to the measuremen...
Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...