Research in computational cognitive modeling investigates the nature of cognition through developing process-based understanding by specifying computational models of mechanisms (...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
This paper describes EyeTracer, an interactive environment for manipulating, viewing, and analyzing eye-movement protocols. EyeTracer augments the typical functionality of such sy...
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
The model-driven software development for hard real-time systems promotes the usage of the platform independent model as major design artifact. It is used to develop the software l...