—In network measurement systems, packet sampling techniques are usually adopted to reduce the overall amount of data to collect and process. Being based on a subset of packets, t...
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
Distributional analysis is widely used to study social choice in Euclidean models [35, 36, 1, 5, 11, 19, 8, 2, e.g]. This method assumes a continuum of voters distributed accordin...
—Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach...
Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Li...
A discrete (binary-input 2q -ary output) communication channel with memory is introduced with the objective to judiciously capture both the statistical memory and the soft-decision...