Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI can be estimated from a set of diffusion weighted images and...
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
A large multi-ported register file is indispensable for exploiting instruction level parallelism (ILP) in today's dynamically scheduled superscalar processors. The number of ...
Modern applications are designed in multiple tiers to separate concerns. Since each tier may run at a separate location, middleware is required to mediate access between tiers. Ho...