of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy OPTIMIZED DICTIONARY DESIGN AND CLASSIFICATION USING THE MATCHING PURSUITS DISSIMILARITY MEASURE By Raazia Mazhar May 2009 Chair: Paul D. Gader Co-chair: Joseph N. Wilson Major: Computer Engineering Discrimination-based classifiers diffe...

Acknowledgments This thesis would not have been possible without the helpful support, the motivating advises and the constructive guidance of my supervisors Prof. Dr. Geistanger to whom I owe my special gratitude. Moreover, I want to thank the whole department of Biostatistic of Roche Diagnostics Penzberg, as I have never worked in a more friendly and helpful atmosphere. My special thanks go to...

Phylogenetic relationships inferred from multilocus organellar and nuclear DNA data are often difficult to resolve because of evolutionary conflicts among gene trees. However, conflicting or "outlier" associations (i.e., linked pairs of "operational terminal units" in two phylogenies) among these data sets often provide valuable information on evolutionary processes such as chloroplast capture ...

To validate the HPLC determination of the active pharmaceutical ingredient TAMO in tablets a first calibration set, I, (Table 1, 2nd line) was measured. The experimentally obtained counts are listed in Table 1, 3rd line. In this challenge we tested whether you could detect an outlier in the linear regression function. An outlier shows an unusually high or low residual. The residuals ei are the ...

Investigating the extent (or the existence) of local adaptation is crucial to understanding how populations adapt. When experiments or fitness measurements are difficult or impossible to perform in natural populations, genomic techniques allow us to investigate local adaptation through the comparison of allele frequencies and outlier loci along environmental clines. The thick-billed murre (Uria...

Analyzing exceptional objects is an important mining task. It includes the identification of outliers but also the description of outlier properties in contrast to regular objects. However, existing detection approaches miss to provide important descriptions that allow human understanding of outlier reasons. In this work we present OutRules, a framework for outlier descriptions that enable an e...

For natural language processing on machines, resolving such peculiar usages would be particularly useful in constructing a dictionary and dataset for word sense disambiguation. Hence, it is necessary to develop a method to detect such peculiar examples of a target word from a corpus. Note that, hereinafter, we define a peculiar example as an instance in which the target word or phrase has a new...

Local adaptation to contrasting biotic or abiotic environments is an important evolutionary step that presumably precedes floral diversification at the species level, yet few studies have demonstrated the adaptive nature of intraspecific floral divergence in wild plant populations. We combine a population-genomic approach with phenotypic information on floral traits to examine whether the diffe...

Multi-dimensional outlier detection (MOD) over data streams is one of the most significant data stream mining techniques. When multivariate data are streaming in high speed, outliers are to be detected efficiently and accurately. Conventional outlier detection method is based on observing the full dataset and its statistical distribution. The data is assumed stationary. However, this convention...

We consider the problem of identifying examinees with aberrant response patterns in a computerized adaptive test (CAT). The vector of responses yi of person i from the CAT comprise a multivariate response vector. Multivariate observations may be outlying in many di erent directions and we characterize speci c directions as corresponding to outliers with di erent interpretations. We develop a cl...