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This paper presents an optimizing morphological segmentation metric for statistical machine translation performance. Unlike previous morpheme segmentation work for getting greater linguistic accuracy we focus on factors such as consistency, coverage and granularity, which directly affect MT performance. We propose a novel combination of dictionary information and statistical model, taking advantage...
Least squares support vector machines (LS-SVM), with excellent generalization performance and low computational cost, has been proven to be a useful tool in consumer credit risk assessment. It is a common assumption that the labels of the consumers are unchanged, which is contradictory with population drift. In this paper, we use a fuzzy membership of each input data to represent the impact of population...
An efficient smoothed particle hydrodynamics (SPH) method for duct conveying is proposed. The combination of meshless and Lagrangian nature inherent in the SPH methodology avoids the disadvantages of traditional numerical methods in treating large deformations, large inhomogeneities and tracing free surfaces in the duct conveying process. Major physics of the duct conveying can be well captured in...
Visual tracking of articulated objects in real 3D space is challenging with applications in advanced human–computer interfaces and gesture semantic understanding. In this paper, graphical model, constructing articulated human hand, and NBP algorithm embedded with CAMSHIFT, inferencing hand configuration in 3D space, are applied for visual hand tracking. We also introduce image depth cue captured by...
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