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The naming of local variables is usually at the programmer's discretion. Thus, there is a diversity in naming local variables and this may cause variations in the code quality. Many coding conventions say that the name of a local variable can/should be short. This paper focuses on such conventions, and aims to explore the trends of local variables' names in Java and examine if abnormal local variables...
The fast retrieval in archival traffic data is essential for network security and forensic analysis. A bitmap index is a data structure enabling fast search over large data collections in a limited time, but the space consumption is always a problem. WAH, PLWAH and COMPAX are proposed for compressing bitmap indexes for less storage. In this paper, a new bitmap index encoding scheme, named MASC, is...
Defining a proper measure of proximity (or remoteness) between two groups of objects is of crucial importance in applied research. Much attention has been paid to consideration of continuous-valued attributes while nominal-valued attributes seems to be more difficult to handle. In this paper we defined non empty groups of objects, and each group is described as K-tuple sets of attributes values. Next,...
Hyperspectral remote sensing, as a new remote sensing technology, provides a powerful measure to object identification and classification accurately due to its acuminous ability of spectrum detection. This paper addresses the problem of the classification of hyperspectral remote-sensing images, and studies a novel spectral matching method based on the popular Scale-invariant Feature Transform (SIFT)...
This paper suggests a signal processing method for finding the minimax codes which minimize the maximum redundancies over a class of sources with either a discrete or a continuous alphabet, and where relative entropy (cross entropy; discrimination information) is a criterion to measure the redundancy. A complexity analysis and numerical studies demonstrate the efficiency of the method.
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