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...
Image intensity variations can result from several different object surface effects, including shading from 3-dimensional relief of the object, or paint on the surface itself. An ...
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
We propose an interconnect reorganization algorithm for reduction stages in parallel multipliers. It aims at minimizing power consumption for given static probabilities at the pri...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Osc...
There has been considerable work on determining a suitable method to accomplish a satisfactory ordering of a group of objects, when there are multiple evaluation criteria. A weigh...