Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...
Abstract. The Web is constantly evolving into an unprecedented and continuously growing source of knowledge, information and services, potentially accessed at by anyone anytime, an...
For many years people have speculated that electroencephalographic activity or other electrophysiological measures of brain function might provide a new non-muscular channel for s...