Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
We propose an efficient and flexible system for a secure and authentic data exchange in a multiinstitutional environment, where the institutions maintain different databases and p...
Arne Ansper, Ahto Buldas, Margus Freudenthal, Jan ...
Parkinson's disease (PD) belongs to a class of neurodegenerative diseases that affect both the patient's speech and motor capabilities. To date, PD diagnosis and the det...
Francis K. H. Quek, Robert K. Bryll, Mary P. Harpe...
We develop a new filter which combines spatially adaptive noise filtering in the wavelet domain and temporal filtering in the signal domain. For spatial filtering, we propose a ne...
Aleksandra Pizurica, Vladimir Zlokolica, Wilfried ...
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...