Trevor J. Bihl

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INTRODUCTION Humans are naturally suited for recognizing and interpreting patterns; however, large and complex datasets, as in Big Data, preclude efficient human analysis. Computational pattern recognition encompasses means of describing, classifying, grouping, categorization, and/or clustering data (Jain, Duin, & Mao, 2000). Expanding on the concept of(More)
INTRODUCTION Decision support systems (DSSs) are a subset of information systems that support human decision-making through computerized systems that provide contextual information. DSSs allow decision-makers to improve their strategic planning and management control; from a business standpoint these systems have a wide-range of application (Yong & Taib,(More)
The RX anomaly detector is well known for its unsupervised ability to detect anomalies in hyperspectral images (HSI). However, the RX method assumes the data is uncorrelated and homogeneous, both of which are not inherent in HSI data. To defeat the correlation and homogeneity, a new method dubbed Iterative Linear RX is proposed. Rather than the test pixel(More)
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