The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Two decades of microprocessor architecture driven by quantitative 90/10 optimization has delivered an extraordinary 1000-fold improvement in microprocessor performance, enabled by...
User-provided object bounding box is a simple and
popular interaction paradigm considered by many existing
interactive image segmentation frameworks. However,
these frameworks t...
Victor Lempitsky, Pushmeet Kohli, Carsten Rother, ...
In this paper, we introduce a novel context sensitive system design paradigm. Multiple sensors/ computational architecture, in the form of our eWatch device, is used to infer the ...
Asim Smailagic, Daniel P. Siewiorek, Uwe Maurer, A...
The virtual synchrony model for group communication has proven to be a powerful paradigm for building distributed applications. Implementationsof virtual synchrony usually require...