There is a significant amount of redundancy between video frames or images that can be explained by considering these observations as samples of a light field function. By using a...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
Modern GUI toolkits, and especially RIA ones, propose the concept of binding to dynamically link domain data and their presentations. Bindings are very simple to use for predefine...
The area of non-intrusive forensic analysis has found many applications in the area of digital imaging. One unexplored area is the identification of source coding in digital image...
Model transformations are playing a vital role in the field of model engineering. However, for non-trivial transformation issues most approaches require imperative definitions, w...