In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
The convergence of iterative methods used to solve the linear systems arising in incompressible flow problems is sensitive to flow parameters such as the Reynolds number, time s...
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Abstract. We present a system that allows for changing the major camera parameters after the acquisition of an image. Using the high dynamic range composition technique and additio...
Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolf...
This paper describes an efficient implementation of binning for decode-and-forward (DF) in relay channels using lowdensity parity-check (LDPC) codes. Bilayer LDPC codes are devised...