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This paper describes an approach to retrieve documents adopting machine learning method. The application of machine learning to document retrieval, which can be so called ldquolearning to rankrdquo, has been a hot research topic in the information retrieval and machine learning communities recently. One of the characters that discriminates this work from other studies is the use of semantic features...
An experimental prototype system was created and used to investigate how information relevant to analyst queries, and constrained by a contextual model, can be found over a large information space. Agents employing the ant model sift through documents quickly using a transductive support machine classifier and return those meeting a classifier which is constantly refined through feedback from semantic...
In this paper we propose a framework that focuses on the need for rapid image information mining in a coastal disaster event where it is necessary to explore vast amounts of data from multiple remote sensing sensors in real or near real time. The proposed system; Rapid Image Information Mining (RIIM) is a region based approach where in lieu of prevalent pixel based methods it localizes interesting...
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