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The increasing VM density in cloud hosting services makes careful management of physical resources such as CPU, memory, and I/O bandwidth within individual virtualized servers a priority. To maximize cost-efficiency, resource management needs to be coupled with the revenue generating mechanisms of cloud hosting: the service level agreements (SLAs) of hosted client applications. In this paper, we develop...
In this paper, we propose a very simple face recognition method. This method first exploits a linear combination of all the training samples to express the test sample. Then it evaluates the capability of each class in expressing the test sample and assigns the test sample to the class that has the strongest capability. Using the expression result, the proposed method can classify the testing sample...
A new method of objectively assessing image quality is presented. This method deals with imaging system Modulation Transfer Function (MTF) and Signal to Noise Ratio (SNR), which are very important for image quality assessment based on matching accuracy requirements in the digital photogrammetric processing. Firstly, the main metrics affecting image quality is theoretically analyzed and mathematically...
Performance models provide the ability to predict application performance for a given set of hardware resources and are used for capacity planning and resource management. Traditional performance models assume the availability of dedicated hardware for the application. With growing application deployment on virtualized hardware, hardware resources are increasingly shared across multiple virtual machines...
Protein subcellular localization provides insights into protein function. In literature, various computational methods have been developed for this problem based on protein sequences, where most methods have limited prediction accuracy. Therefore, a general computational method with high prediction accuracy is necessary. In this work, we present a novel balanced ensemble classifier for fungi protein...
High resolution satellite images offer abundance information of the earth surface for remote sensing applications. For two decades, the detection and monitoring of change using high resolution satellite images has been a topic of interest in remote sensing. Recent investigations have shown that the pixel-based analysis of change detection for high resolution images has explicit limits. Using object-based...
High resolution satellite images offer abundance information of the earth surface for remote sensing applications. Using change detection technology to extract the target area changes from high resolution remote sensing images and rapidly update map database has become a focus research of remote sensing information processing. However the traditional methods of change detection are not suitable for...
With the rapid developing of the network information, it seems to be quite important to provide a more reasonable text classification algorithm for learners. In this paper,we adopt a sensitivity method to modify the characteristic weight in the distance formula and put up with a cutting method of training sample database based on CURE algorithm and Tabu algorithm; then adopt CURE cluster algorithm...
With rapid development of Internet information, It is quite an important project for data mining that how to classify these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and eigenvector representation on base of term frequency statistics, thereby it lessens sensitivity...
A method on circular pattern measurement in wafer fault pattern retrieval system is developed. It can help engineers to query circular wafer fault pattern to historical or other patterns for manufacturing fault detection and tracking. An enclosing polygon based on the vertices of boundary edges is constructed to describe the border of circular pattern. Experimental results show that the proposed approach...
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