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With the improvement of people's living standards, there is no doubt that people are paying more and more attention to their health. However, shortage of medical resources is a critical global problem. As a result, an intelligent prognostics system has a great potential to play important roles in computer aided diagnosis. Numerous papers reported that tongue features have been closely related to a...
Facial expression recognition plays an important role in lie detection, and computer-aided diagnosis. Many deep learning facial expression feature extraction methods have a great improvement in recognition accuracy and robutness than traditional feature extraction methods. However, most of current deep learning methods need special parameter tuning and ad hoc fine-tuning tricks. This paper proposes...
At present, With the wide application of Linux system, the security performance of Linux system is meeting more and more challenges. This paper analyzes the the security flaw of traditional Linux security mechanism in which the presence of superuser root violates the principle of least privilege in security system design, which brings various kinds of privilege elevation attacks. The current fine-grained...
This paper presented incremental support vector data description (ISVDD) method and used it to detect anomalies in hyperspectral images. Anomaly detection is essentially a problem of one-class classification, a good solution of which is SVDD, using optimized minimal hypersphere to express tightly the background and using distinguish function to detect anomalous pixels. The method avoided the problem...
As a novel computing paradigm, e.g., cloud computing, become popular, researchers proposed various resource sharing techniques and resource provision techniques. However, very limited literatures pay attentions to the reliability of dynamically provided resources. In this paper, we propose a failure rules aware node resource provision policy for heterogeneous services consolidated in cloud computing...
Cloud computing drives the design and development of diverse programming models for massive data processing. the transformer programming framework aims to facilitate the building of diverse data-parallel programming models. transformer has two layers: a common runtime system and a model-specific system. using transformer, the authors show how to implement three programming models: dryad-like data...
In this paper, we introduce a grid accounting system for the grid economy, called PhoenixAccount. Focuses on the issue that the accounting in the grid economy need not only to motivate the resource contribution, but the control of the resource sharing, PhoenixAccount proposes 1) the close-looped use of virtual currency; 2) a new user payment model with the expression of the time-varying resource utility...
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