Escape time algorithm is a universal algorithm when to create fractal image. A class of algorithms based on escape time algorithm is wasting-calculation. In this essay, when combined with the feature of eventually per...
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The loss assessment is an important operation of claim process in insurance industry. On the growing tide of making the insurance information system the in-depth support to optimizing operation and serving insurant, a...
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Collective classification in networked data has become an important and active research topic, it has a wide variety of real world applications, such as hyperlinked document classification, protein interaction and gen...
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Most existing storages of the ontology use relational databases as a backend to manage RDF data. This motivates us to translate SPARQL queries, the proposed standard for RDF querying, into equivalent SQL queries. At t...
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In this paper, we introduce a new tractable subclass of cardinal direction relations we called strong saturated-convex rectangle cardinal direction relations. We prove that reasoning in this subclass is a polynomial t...
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In this paper, we introduce a new tractable subclass of cardinal direction relations we called strong saturated-convex rectangle cardinal direction relations. We prove that reasoning in this subclass is a polynomial time problem and show that the path-consistency method is sufficient for deciding consistency.
Image annotation is a challenging problem due to the rapid growing of real world image archives. In this paper, we propose a novel approach to the solving of this problem based on a variant of the support vector clust...
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Image annotation is a challenging problem due to the rapid growing of real world image archives. In this paper, we propose a novel approach to the solving of this problem based on a variant of the support vector clustering (SVC) algorithm, i.e., the support vector description of clusters. The system has two major components, the training process and the annotating process. In the training process, clusters of image manually annotated by descriptive words are used as training instances. Each cluster is described by a one-cluster SVC model. The proposed model can exploit the advantage of SVC for its ability to delineate cluster boundaries of arbitrary shape. Moreover, the training process of the one-cluster SVC model is formulated as the process of building density estimator for underlying distribution of the cluster. In the annotating process, for a test image, the probability of this instance being generated by each model is computed. And then the relevant words are selected based on the obtained probabilities. Simulated experiments were conducted on the Corel60k data set. The results demonstrate the performance of the proposed algorithm, compared with the performance of other algorithms.
Automated constructing multi-resolution 3D building models is an important issue in the contexts of virtual reality, progressive transmission and 3D GIS. This paper proposes a novel method to generate multi-resolution...
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The current GPM algorithm needs many iterations to get good process models with high fitness which makes the GPM algorithm usually time-consuming and sometimes the result can not be accepted. To mine higher quality mo...
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The core idea of clustering algorithm is the division of data into groups of similar objects. Some clustering algorithms are proven good performance on document clustering, such as k-means and UPGMA etc. However, few ...
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More and more literature has been written on electronic records management (ERM) in e-government in recent three years, however, much is limited to experiences of one country with more focus on electronic records mana...
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More and more literature has been written on electronic records management (ERM) in e-government in recent three years, however, much is limited to experiences of one country with more focus on electronic records management systems (ERMS). This paper aims to investigate current trends and future directions of ERM including ERMS in e-government with more focus on comprehensive approaches internationally. Representative shows current ERMS have limitations either from IT perspectives or records and archives management perspectives managing records as data. Future research is called for more concerns of e-government and more involvement in efficient civil service. Case studies of representative policies, regulations, best practices guidelines from Australia, Canada, New Zealand, UK and U.S show challenges of ERM in e-government are getting more and more recognized in information risk, data governance and efficient civil service. Current trends of ERM in e-government are toward multidisciplinary and collaborative approaches to ERM managing records as information resources and business asset. Findings indicate that future directions of ERM in e-government would be toward meta-synthesis management at both organizational and national level, with integration concerns of collaboration, optimization and innovation of both ERM and e-government for civil service. The findings may have implications to be of use to both ERM and e-government professions internationally.
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