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The Gaussian mixture model is widely applied in the fields of data analysis and information processing. Recently, its parameter learning with adaptive model selection, i.e., the adaptive selection of number of Gaussian distributions in the mixture for a given sample dataset, has become an attracting and interesting topic. In this paper, we propose a dynamically regularized maximum likelihood learning...
Coverage is a fundamental problem of WSN, which reflects the performance of sensing in wireless sensor network. The high density network is made up of low-power tiny sensors. At the guarantee of area coverage, how to prolong the lifetime of network is a problem needs solving. And the method of choosing part of sensors to perform the sense task is adopted for full area coverage to achieve the object,...
With the process scaling down to 65nm, leakage power begin to dominate the power consumption. Power gating as one of the most effective techniques to reduce leakage power has become the research hot spot in the past ten years, and will be applicable in all the future low power design. This paper give a brief summary of the concept of power gating design, the problems when implementing it as well as...
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