Synchronization is the major processing task during multimedia presentation, which defines the time relation between multimedia objects. There are many synchronization specification methods, and each has different adv...
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Synchronization is the major processing task during multimedia presentation, which defines the time relation between multimedia objects. There are many synchronization specification methods, and each has different advantages and disadvantages. Those methods work well for the simple and specific synchronization case, but when considering large complex multimedia presentation, there lacks an effective method to deal with the complex time relation. In this paper, a synchronization point based specification method (SPM) is proposed, and based on it, a static and dynamic validation mechanism for the synchronization relation is given. In SPM, the synchronization relation is defined in synchronization points (SP). Multimedia presentation control is based on SP's status during presentation. According to the order of SPs, SPM gives the static and dynamic validation algorithm, which can avoid the conflict relation between SPs. SPM gives a way to define the nondetermined synchronization relation between multimedia objects, and proposes static and dynamic validation mechanisms for complex synchronization control. This synchronization point based mechanism can extend the capability of synchronization definition and control in a multimedia system.
Feature selection is an integral step of the data mining process to find an optimal subset of features. After examining the problems with both the filter and the wrapper approach to feature selection, we propose a two...
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Feature selection is an integral step of the data mining process to find an optimal subset of features. After examining the problems with both the filter and the wrapper approach to feature selection, we propose a two-phase (filter and wrapper) feature selection algorithm that can take advantage of both approaches. It begins by running GFSIC (Genetic Feature Selection with Inconsistency Criterion), a filter approach, to remove irrelevant features, then it runs SBFCV (Sensitivity-Based Feature selection with v-fold Cross-Validation), a wrapper approach, to remove redundant or useless features. Analysis and experimental studies show the effectiveness and scalability of the proposed algorithm. The generalization of the neural network is improved when the algorithm is used to pre-process the training data by eliminating irrelevant and useless features from the neural network's consideration.
With the flood of information on the World Wide Web, Web mining is a new research issue which is drawing great interest from many communities. Currently, there is no agreement about Web mining; it needs more discussio...
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With the flood of information on the World Wide Web, Web mining is a new research issue which is drawing great interest from many communities. Currently, there is no agreement about Web mining; it needs more discussion among researchers in order to define exactly what it is. Meanwhile, the development of Web mining systems will in turn promote its research. In this paper, we present a preliminary discussion about Web mining, including its definition, the relationship between information mining and information retrieval on the Web, and the taxonomy and the function of Web mining. In addition, a prototype system called WebTMS (Web Text Mining System) has been designed. WebTMS is a multi-agent system which combines text mining and multi-dimensional document analysis to help users mine HTML documents on the Web effectively.
This paper proposes a knowledge sharing and collaboration system model (InKB) based on the Internet. It gives a way to collaborate and share knowledge between Web-based knowledge systems. InKB model has three layers: ...
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This paper proposes a knowledge sharing and collaboration system model (InKB) based on the Internet. It gives a way to collaborate and share knowledge between Web-based knowledge systems. InKB model has three layers: data exchange layer, collaboration layer and knowledge-based application layer. The data exchange layer solves the problem of how to represent and manipulate knowledge. The collaboration layer devotes collaboration between servers over the Internet. The knowledge-based application layer defines the user interface for knowledge processing over the Internet, such as information searching, decision-support application and data mining. Data exchange between InKB Webs is in XML format, knowledge can be shared between heterogeneous knowledge bases, and knowledge can be remotely manipulated. Collaboration between InKBs is supported through a collaboration agent, which can find the resource the user wants in the InKB system. As an open system model, InKB can also support HTTP requests such as information retrieval and browsing.
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