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Objective To investigate the effect of a deep learning-based denoising algorithm, PixelShine (PS), on the quality of 70 kVp pelvic arterial phase CT images. Materials and methods A retrospective analysis was performed on arterial phase pelvic CT images from 33 patients (body-mass index ≤ 20 kg/m2) obtained with a GE Revolution CT (70 kVp tube voltage; adaptive statistical iterative reconstruction-Veo-filtered...
Automatic Image annotation is an important open problem in computer vision. In real world dataset environment, image labels are often noisy. For the task of image annotation with weakly labels, we propose SNLWL, a semantic neighborhood learning model from weakly labeled dataset. Missing labels are replenished using reweighting the error loss function. Then semantic balanced neighborhood is construct...
Feature vector extraction is measured as major step in development of underwater target recognition. To improve robustness of the performance of feature vector extraction, we proposed a novel approach for robust underwater target recognition applying the auditory cepstral coefficients (ACC) based on auditory filter and cubic-log compression instead of Mel filter and logarithmic compression in Mel-frequency...
With the increasing popularity of cloud computing, privacy has become one of the key problem in cloud security. When data is outsourced to the cloud, for data owners, they need to ensure the security of their privacy; for cloud service providers, they need some information of the data to provide high QoS services; and for authorized users, they need to access to the true value of data. The existing...
Many applications are benefited from data sharing, especially data statistics and data mining. But as the shared data may contain private information of data owner, it has a high risk of revealing data owner's privacy. Data obfuscation is proposed to gain a balance between data privacy and data usability. But it is hard for the present obfuscation schemes to remain the usability of data in a fine-grained...
In the avionics test, sensor signal samplings are often subjected to the interference of all kinds of noise, which could not accurately reflect the real operating status of the equipment and should not be directly used for data processing and analysis. In order to de-noise test data, a new threshold function is presented and the preprocessing wavelet is determined by reconstruction factor according...
The measurement accuracy of acoustic wave flight time is the key to achieve high-precision temperature measurement of acoustic method under strong noise in the boiler. In order to obtain accurate acoustic wave flight time in the acoustic temperature measurement of power station boiler, we have studied the acoustic signal time delay estimation for the weak signal detection in strong noise environment...
To online monitor process, a combined approach of fault detection and diagnosis based on Lifting Wavelets and Moving Window PCA (LW-MWPCA) was presented. Firstly the data were pre-processed to remove noise and spikes through lifting scheme wavelets, and then MWPCA was used to diagnose faults. To validate the performance and effectiveness of the proposed scheme, LW-MWPCA was applied to diagnose the...
Based on free probability theory, a new scheme for frequency band sensing of spreading communication system is proposed. Unlike previous studies in the field, the new scheme does not require the knowledge of the spreading sequences of users and is related to the asymptotic free behavior of random matrices. Simulation result shows that the convergence characteristic holds true even for a small number...
The key theorem plays an important role in the statistical learning theory. However, the researches about it at present mainly focus on real random variable and the samples which are supposed to be noise-free. In this paper, the definitions of complex rough variable and primary norm are introduced. Then, the definitions of the complex empirical risk functional, the complex expected risk functional,...
This paper proposes a novel approach for speech feature extraction., the proposed noise robust feature extraction algorithm is found to be robust to different noise characteristics, SNRs, and under various training-testing matched or unmatched conditions. And the algorithm this paper presents exhibit a low computational cost. We also give a practical weighting technique here. The experiment compares...
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