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...
Recent developments in information technologies made the secure transmission of digital data a critical design point. Large data flows have to be exchanged securely and involve en...
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Background: Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method produces allelespecific DNA bands of different lengths by adding four designed primers an...
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...