Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
The use of double-buffered displays, in which the previous image is displayed until the next image is complete, can impair the interactivity of systems that require tight coupling...
Gary Bishop, Henry Fuchs, Leonard McMillan, Ellen ...
Educational Partnerships and Learning Technologies (EPLT) [1] at the University of Washington maintains and supports a fleet of approximately 1,000 general-access student computin...
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...