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One promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. In many practical situations, adding test cases is not a cost-free option because test oracles are developed manually or running test cases is expensive. Hence, we require to have test suites that are both diverse and small to improve...
Online reviews have become an increasingly important resource for decision making and product designing. But reviews systems are often targeted by opinion spamming. Although fake review detection has been studied by researchers for years using supervised learning, ground truth of large scale datasets is still unavailable and most of existing approaches of supervised learning are based on pseudo fake...
This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching...
The nondestructive testing is an important part of quality analysis and risk evaluation. Ultrasonic guided wave testing is extensively used in detecting and characterizing defects in natural gas and oil transmission pipelines. Defect profile reconstruction means establishing the profile parameters and constructing defect profile. In this paper, practical experiments and numerical simulations on propagation...
In this paper, after a brief overview of the existing methods, we present a new hierarchical classification algorithm based on quotient space theory of the granular computing. This algorithm deals with the samples from coarse to fine both in the training and testing processes. A group of classifiers are firstly trained by the samples generated under different quotient space. Then the trained classifiers...
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