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Digital television (DTV) signal has been recognized as a promising signal for navigation and positioning. However, due to the single frequency network (SFN) transmission within the European standard digital video broadcasting terrestrial (DVB-T) system, emitter confusion problem occurs in navigation and positioning, resulting in that a receiver is unable to know from which emitter a received signal...
GUI exploration is a widely adopted technique to test GUI programs, which traverses the elements of screens during the user interaction and simultaneously constructs the GUI model to describe window transitions. Specific to Android apps, an elaborate GUI model should take Android characteristics into consideration. We propose a GUI exploration approach that dynamically acquires the information of...
In order to solve the problem of cooperative issue in single frequency network (SFN) positioning system, in this paper, a cooperative positioning scheme using the fundamental characteristic of SFN is proposed. Some different signal levels are described for cooperative signal selection. According to the difference between the cooperative signal levels, the proper signal can be selected for cooperative...
As the large number of feature attributes in Case-based reasoning system (CBR) brings a huge information redundancy which reduces the retrieval efficiency, a novel reduction method based on Water-Filling is proposed to remove those unnecessary attributes. In the method, the importance of each attribute could be calculated by utilizing the ratio of the standard deviation and the mean value of each...
Discovering object classes from images in a fully unsupervised way is an intrinsically ambiguous task; saliency detection approaches however ease the burden on unsupervised learning. We develop an algorithm for simultaneously localizing objects and discovering object classes via bottom-up (saliency-guided) multiple class learning (bMCL), and make the following contributions: (1) saliency detection...
Cancer tissues in histopathology images exhibit abnormal patterns; it is of great clinical importance to label a histopathology image as having cancerous regions or not and perform the corresponding image segmentation. However, the detailed annotation of cancer cells is often an ambiguous and challenging task. In this paper, we propose a new learning method, multiple clustered instance learning (MCIL),...
According to the study on risk identification, risk estimation, risk assessment and risk control of monitoring-based deep excavation engineering, a set of feasible risk management system of deep excavation engineering is built up in this paper. The expert surveys method (including Delphi), fault tree analysis, checklist are used in identifying risk factors in deep excavation engineering. The risk...
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