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This paper describes, and illustrates using documented applications, a general framework methodology for wide-area forest and land use mapping and change detection using Synthetic Aperture Radar (SAR) remote sensing. Consideration is given to implementation of the SAR-based methodology using both commercial and free/open-source software. Our experience shows that constructing a complete processing...
Many combinatorial problems in fields such as object tracking involve reasoning over correspondence, e.g., calculating the probability that a measurement belongs to a particular track. Recent studies have shown that loopy belief propagation (LBP) provides a highly desirable option in the trade-off between accuracy and computational complexity in this task. LBP can be understood as a particular method...
Data association is the problem of determining the correspondence between targets and measurements. In this paper, we present a graphical model approach to data association and apply an approximate inference method, loopy belief propagation, to obtain the marginal association weights (e.g., for JPDA). In general, loopy belief propagation is not guaranteed to converge, and when convergence is obtained...
Automated static analysis can identify potential source code anomalies early in the software process that could lead to field failures. However, only a small portion of static analysis alerts may be important to the developer (actionable). The remainder are false positives (unactionable). We propose a process for building false positive mitigation models to classify static analysis alerts as actionable...
Limited resources preclude software engineers from finding and fixing all vulnerabilities in a software system. An early security risk analysis that ranks software components by probability of being attacked can provide an affordable means to prioritizing fortification efforts to the highest risk components. We created a predictive model using classification and regression trees and the following...
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