Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
This paper describes a pattern-based technique for systematic development of UML models of secure systems using access control. Access control is viewed and specified as a design...
Model management is a new approach to meta data management that offers a higher level programming interface than current techniques. The main abstractions are models (e.g., schema...
The influence of multimodal sources of input data to the construction of accurate computational models of user preferences is investigated in this paper. The case study presented...