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This paper proposed a novel image fusion framework based on PCNN in NSCT domain. Compared with the contourlet transform(CT), NSCT has translational invariance and can also overcome the image pseudo Gibbs phenomena around singularites. PCNN is evolved from mammal's visual cortex neuron model, and characterized by its pulse synchronization and acquisition of the neurons. Firstly, the source images were...
Investigating information credibility is an important problem in online social networks such as Twitter. Since misleading information can get easily propagated in Twitter, ranking tweets according to their credibility can help to detect rumors and identify misinformation. In this paper, we propose a Petri net model to visualise tweet credibility in Twitter. We consider the uniform resource locator...
Most of the existing computer security visualization programs are data centered. However, some studies have shown that task centered visualization is perhaps more effective. To test this hypothesis, we have developed a new framework of visualization and apply it to computer security visualization. This framework provides a new way for users to interact with data set and potentially will provide new...
A corpus is a large collection of texts that can be automatically analyzed for linguistic patterns and structures using interactive tools. Corpus-based language learning has gained prominence in recent years thanks to the advances in computing technologies, such as text mining, searching, and natural language processing. The size and variety of corpora have also grown significantly in recent years...
Visual analytic techniques are useful for studying patterns and relationships hidden in very large data sets. However, a common problem in visualizing large data sets is visual cluttering. When data get large, visual elements often get crowded, making it difficult for viewers to conduct analysis. In this paper, we present a novel method that reduces visual cluttering in spatial-temporal data visualization...
This paper presents a fast vehicle recognition and vehicle retrieval system based on “bag of words”. In this system, the input is an image of vehicle and the vehicle will be identified automatically, it can also retrieve images which are similar to the input image. 3742 vehicle images which include 28 types of vehicles are collected as the image database. Features of these images are extracted and...
In this paper, we report our attempt to evaluate the degree of online collaboration with quantitative analysis. Since most online collaborations are carried out through natural language, such quantitative analysis must rely on natural language processing. Here we discuss our work in analyzing an online social visualization web site using the semantic similarity measures of collaborative textual snippets...
In the past few years, online social data visualization has emerged as a new platform for users to construct, share, and comment on data visualizations online. The most well known online data visualization tools include Many Eyes, Swivel, and Tableau Public. In this paper, we report our analysis of Many Eyes - an IBM research project. By analyzing all the data visualizations constructed by users from...
Composition style is often an important factor in readers' selection of reading materials. For example, a reader may seek out articles written in similar style as his or her favorite writer. We present a new method for providing recommendations based on the composition style. Our algorithm analyzes and encodes the readability index and syntactical structure of a model document, and then searches for...
Many readability tests have been developed to assess the reading difficulty of a text document. However, a typical readability index is a single average number for the entire document, which does not indicate the readability at the paragraph level. In addition, multiple readability indexes often do not correlate well at the paragraph level, leading to variations of readability measurements for paragraphs...
Many readability tests have been developed to assess the reading difficulty of a text document. They are largely based on two categories of readability metrics: word complexity and sentence complexity. However, most of the readability tests assign a single readability index for the entire document, making it difficult to assess how the various readability metrics are distributed across the document...
Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. One of the critical issues of data integration is the detection of similar entities based on the content. This complexity is due to three factors: the data type of the databases are heterogeneous, the schema of databases are unfamiliar and heterogenous as well,...
Computational modeling and simulation of knee joint can help expand our understanding of the knee biomechanics, and thus improve orthopedic practice. Although many computational knee models have been developed, very few of them include a deformable menisci model. In addition, patient specific modeling and simulation are still not widely adopted, although they are shown to be more effective than generic...
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