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Large-scale data is often represented as graphs in the field of modern cloud computing. Graph processing attracts more and more attentions when utilizing the cloud computing service. With the increasing attentions to process massive graphs (e.g., social networks, web graphs, transport networks, and bioinformatics), many state-of-the-art open source graph computing systems on a single node have been...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensor is a kind of high-tech imaging radar developed rapidly in recent years, and it can get even less than 1 m high resolution SAR image. The feature of the VHR SAR image is different from the low or medium resolution SAR image and it contains more abundant information, so the traditional SAR image classification methods...
Social emotion analysis of online users has become an important task for mining public opinions, which aims at detecting the readers' emotions evoked by online news articles. In this paper, we focus on building a social emotion analysis system (SEAS) for online news. The system has implemented a text data crawler for mainstream online news websites, the modules of document preprocessing, document...
Application performance monitoring and analyzing system has been widely used in online applications and services, to obtain high performance and reliability. However, existing performance monitoring systems only raise an alarm when certain parameter exceeds its threshold and do not provide further analysis. This paper presents an application performance monitoring and analyzing model based on Bayesian...
Facial expression recognition plays an important role in interactive entertainment. In this paper, LSFA (Local Sensitive Frontier Analysis) a novel feature extraction method is introduced for facial expression recognition. LSFA is designed as manifold based feature extraction method to obtain useful features from the facial expression pictures, since the facial expression scatter in high dimensional...
Statistical Learning Theory (SLT) based on random samples on probability space is considered as an important theory about small samples statistics learning at present and has become a new field in machine learning after neural networks. However, the theory is difficult to handle the small samples statistical learning problems on set-valued probability space which widely exists in real world. In this...
Nowadays with the rapid development of the stock market which attracts more and more people to invest in, there are growing public concerns about the stock market. Therefore, as two of the key factors that exert great influence on the stock market, i.e., the Liquidity and Inflation Expectation draw more people's attentions. Based on the data of the Shanghai Composite Index (INDEX for short), narrow...
As it is well known, the theory of random sets has many applications to several fields such as Mathematics Economics, Statistics, and Pattern Recognition. In this paper, we define the distribution function of random sets on Sugeno measure space which is more extensive than that on probability space. We obtain some properties of the Choquet integral of random sets, and also, we give the strong law...
Information integration with the aid of ontology can roughly be divided into two levels: schema level and data level. Most research has been focused on the schema level, i.e., mapping/matching concepts and properties in different ontologies with each other. However, the data level integration is equally important, especially in the decentralized semantic Web environment. Noticing that ontology data...
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