We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
We survey some issues that relate to context dependence and context sensitivity in the development of software, particularly in relation to information systems by defining a range...
In a visualization of a three-dimensional dataset, the insights gained are dependent on what is occluded and what is not. Suggestion of interesting viewpoints can improve both the...
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
The allowable computational complexity of video encoding is limited in a power-constrained system. Different video frames are associated with different motions and contexts, and s...