Abstract— Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image ...
Abstract—Understanding user behavior in wireless environments is useful for a variety of reasons ranging from the design of better sleep algorithms for components of mobile devic...
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Abstract— In this contribution we design the Iteratively Decoded Self-Concatenated Convolutional Codes (SECCC-ID) using Extrinsic Information Transfer (EXIT) charts. Good constit...
Muhammad Fasih Uddin Butt, Soon Xin Ng, Lajos Hanz...