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In this paper, we extend the nearest convex hull classifier to Symmetric Positive Definite (SPD) manifolds. SPD manifold features have been shown to have excellent performance in various image/video classification tasks. Unfortunately, SPD manifolds naturally possess non-Euclidean geometry, so existing Euclidean machineries such as the nearest convex hull classifier cannot be used directly. To that...
Probabilistic model checker plays an important role in quantitative verification for required properties of probabilistic behavior model. PRISM is a well-used tool to be used as a probabilistic model checker. It takes PRISM language to describe probabilistic behavior model. But it is difficult for users of variety background to understand the PRISM language quickly. Meanwhile, manually writing is...
In this paper, we propose a novel complexity-adjustable video coding algorithm for H.264/AVC-based wireless video communications through portable devices. To optimize the rate-distortion performance under power constraint in packet loss environment, we present a novel model that can adapt to the different channel conditions and computation power constraints. The experimental results demonstrate that...
There are two principal ideologies in present digital library evaluation model. Divarication between them demonstrates the immaturity of evaluation research to some extent. To resolve such divarication can't only rely on the surface reference and complement from each other, but explore the intrinsic problem of divarication, then we can get ride of constraints and re-building a brand-new evaluation...
In this paper, We briefly present an overview of Markov chain Monte Carlo(MCMC), the MCMC method is studied with LA long beach air pollution PM 2.5 traffic from 2001 to 2007 observations. A linear regression model was built. We carried out statistical and graphical analysis and convergence diagnostics of Monte Carlo sampling output. The conclusion illustrated that the model fitting the datasets very...
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