This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
— As network infrastructures with 10 Gb/s bandwidth and beyond have become pervasive and as cost advantages of large commodity-machine clusters continue to increase, research and...
Philip Werner Frey, Romulo Goncalves, Martin L. Ke...
—Recently, multiresolution visualization methods have become an indispensable ingredient of real-time interactive postprocessing. The enormous databases, typically coming along w...
The increased use of video data sets for multimedia-based applications has created a demand for strong video database support, including efficient methods for handling the content...
Walid G. Aref, Moustafa A. Hammad, Ann Christine C...
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...