Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
This paper presents research on the application of the means-end chain (MEC) framework for investigating customers cognitive structure regarding community applications. It is argu...
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Abstract—We investigate the design of declarative, domain-specific languages for constructing interactive visualizations. By separating specification from execution, declarativ...
In this paper, we describe the design and implementation of an integrated architecture for cache systems that scale to hundreds or thousands of caches with thousands to millions o...
Renu Tewari, Michael Dahlin, Harrick M. Vin, Jonat...