We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
MATLAB is one of the most popular languages for desktop numerical computations as well as for signal and image processing applic ations. Applying parallel processing techniques to...
Performance gains in memory have traditionally been obtained by increasing memory bus widths and speeds. The diminishing returns of such techniques have led to the proposal of an ...
Brinda Ganesh, Aamer Jaleel, David Wang, Bruce L. ...
Stream processing applications such as image signal processing demand high throughput. However, customers increasingly demand runtime flexibility in their designs, which cannot b...
Many industries have been developing e-business standards to improve business-to-business interoperability on a mass scale. Most such standards are composed of business data model...