Sparse promises and meager medical representation

Sparse promises and meager medical representation.

ably yield a ragtag crew of Parliamentarians, as people who were offered up as cannon fodder are unexpectedly swept into office. The 2011 federal election proved no exception as political pundits were left mulling the incongruities and merits of an extremely diverse demographic mix of Members of Parliament (MPs). There were, for example, a record seven university students elected to office (inc...

Image Classification via Sparse Representation and Subspace Alignment

Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...

Electronic medical records--promises, promises!

Hyperknowledge representation: challenges and promises

Hyperknowledge is formed as a system of sets of interlinked concepts, much in the same way as hypertext is built with interlinked text strings; then hyperknowledgefunctions would be constructs which link concepts / systems of concepts in some predetermined or wanted way. Under hyperknowledge representation we mean the identification (or approximation) of hyperknowledge-functions in order to exp...

A New IRIS Segmentation Method Based on Sparse Representation

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...