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Projects receive a large number of bug reports, and resolving these reports take considerable time and human resources. To aid developers in the resolution of bug reports, various automated techniques have been proposed to identify and recommend developers to address newly reported bugs. Two families of bug assignee recommendation techniques include those that recommend developers who have fixed similar...
Venation and contour of plant leaves are significant for many agronomic applications, such as the identification of plant species, the exploration of genetic relationship among plants and the 3D shape reconstruction of leaves. This paper presents a method for extracting leaf vein and contour from point cloud data. Firstly, leaf veins were extracted by using the curvature information of the point cloud,...
This paper discusses a metamorphosis method for temporal data mining. We propose definition of temporal type and time granularity to divide into segments for time, then build an event temporal space which may describe something change of data over time. We give the conception of metamorphosis data in event temporal types space so that it is easier to discover valuable knowledge, but it is not clear...
Robust foreground segmentation is an essential step in many computer vision applications such as visual surveillance and behavior analysis. This paper proposes a subspace based background modeling and foreground segmentation algorithm, which improves the incremental background subspace learning in a robust manner. It can efficiently reduce the influence of the foreground pixels which are undesired...
This paper presents an approach to the optimal DFIG-WT allocation problem in distribution systems. The approach belongs to the set of incremental methods. The goal is to determine the optimal installation location and capacity of DFIG-WT to minimize network losses with assumption of uniform wind energy resource in the area. It treats the voltage of access point as operation constraint. The approach...
Video processing system may introduce some amounts of distortions in the video signal. It is crucial to measure the video quality blindly for most image processing applications which could not obtain the original image. Different video quality assessment (VQA) methods are analysis in this paper. A state of art in the field of no-reference (NR) VQA is presented. Finally, an ideal NR VQA model is proposed.
This paper discusses the identification of multivariable linear time-invariant systems, under the condition that colored noise disturbance exists both in the input and output observation data simultanuously. A recursive algorithm is developed by using eigenvector method for identifying multivariable systems, and also the problem of convergence is discussed. The result of simulation on digital computer...
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