Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
In order to overcome poor readability of text and recognizability of image features in low resolution thumbnails, a novel image representation of compound document images - a Smar...
Kathrin Berkner, Edward L. Schwartz, Christophe Ma...
Modular construction has the advantage of producing structures quickly and efficiently, while not requiring the resources to build a structure to be co-located with the constructi...
Osama M. Mohsen, Paul J. Knytl, Basel Abdulaal, Ja...
It is traditionally assumed that various sources of linguistic knowledge and their interaction should be formalised in order to be able to convert words into their phonemic repres...
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...