The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
Background: Prediction of protein localization in subnuclear organelles is more challenging than general protein subcelluar localization. There are only three computational models...
Estimating an overall density function from repeated observations on each of a sample of independent subjects or experimental units is of interest. An example is provided by biodem...