Partitioning data parallel computations across a network of heterogeneous workstations is a dificult problem for the user: We have developed a runtime partitioning methodfor choos...
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Functional approximation of scattered data is a popular technique for compactly representing various types of datasets in computer graphics, including surface, volume, and vector ...
Yun Jang, Ralf P. Botchen, Andreas Lauser, David S...
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Quantitative models of whole body expressive movement can be developed by combining methods form biomechanics, psychology, and statistics. The purpose of this paper was to use moti...