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Due to the digitization of data and advances in technology, it has become extremely easy to obtain and store large quantities of data, particularly Multimedia data. Fields ranging from Commercial to Military need to analyze these data in an efficient and fast manner. Presently, tools for mining images are few and require human intervention. Feature(More)
The formation of both glucuronide and sulphate conjugates of 4-nitrophenol is deficient in perfused livers from male diabetic rats. Experiments with 'native' hepatic microsomes demonstrated that the defect in glucuronidation is due to a decrease in the maximal velocity of the reaction. There is no alteration in the affinity of the glucuronyltransferase for(More)
[1] A number of recently published papers suggest that mountain-wave activity in the stratosphere, producing ice particles when temperatures drop below the ice frost point, may be the primary source of large NAT particles. In this paper we use measurements from the Advanced Very High Resolution Radiometer (AVHRR) instruments on board the National Oceanic(More)
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant(More)
—To classify Egeria densa, Brazilian waterweed, in scan-digitized color infrared aerial photographs, we are developing an interactive computer system based on data-mining techniques with Active Learning capabilities. Key components of the system are: The need for airborne data collection, including aerial photography, still exists for many applications.(More)
—To classify Egeria densa, Brazilian waterweed, in scan-digitized color infrared aerial photographs, we are developing automated methods based on data-mining and knowledge-engine techniques. In this paper, we present progress to date, compare the results of the two approaches, and discuss current problems and anticipated solutions. IRBORNE data collection,(More)
This chapter focuses on the development of an active learning approach to an image mining problem for detecting Egeria densa (a Brazilian waterweed) in digital imagery. An effective way of automatic image classification is to employ learning systems. However, due to a large number of images, it is often impractical to manually create labeled data for(More)
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