A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Dynamically partitioning of adaptive applications and migration of excess workload from overloaded processors to underloaded processors during execution are critical techniques ne...
The preservation of temporal dependencies among different media data, such as text, still images, video and audio, and which have simultaneous distributed sources as origin, is an ...
Saul Pomares Hernandez, Luis A. Morales Rosales, J...
Providing easy access to updated, accurate and semantically meaningful information about organizations working in the agriculture sector is of primary importance in agricultural in...
Valeria Pesce, Maru Ajit, Gauri Salokhe, Johannes ...
Media authentication and tampering localization are important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded v...
Yao-Chung Lin, David P. Varodayan, Torsten Fink, E...