Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
In this paper, we present the concept of a diversified SCM (supply chain management) standard and distributed hub architecture which were used in B2B experiments for the Japanese ...
As billion transistor System-on-chips (SoC) become commonplace and design complexity continues to increase, designers are faced with the daunting task of meeting escalating design...
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...