Statistical Robustness Analysis of Random Sampling Consensus Method

One of the most vocalized applications of computational interactivity today stem from our biological sense of perception, both in its promise for automation and heeding of its still prevalent weaknesses. Computer vision, as it is known, is a rapidly growing sub-field of computer science that creates use out of visual input utilizing various vision models and algorithms. Naturally these models and algorithms vary widely in terms of correctness, robustness, and degeneracy, especially when operating under disparate environments and conditions. Many publications explore the goal of developing new and robust vision models or algorithms, but less so explore the comparisons between those that already exist. The purpose of this paper is to detail the performance of Visual SLAM with other modern computer vision models (such as PTAM, ORB-SLAM, DSO, LSD, etc.) to produce a standard by which full comparisons may be drawn for both disparate environmental and conditional datasets. It is hoped that this paper will inform others in academia of the current state of computer vision models and help determine when the use of one model should be preferred over another given a certain environment and/or operating condition

Statistical Robustness Analysis of Random Sampling Consensus Method

One of the most vocalized applications of computational interactivity today stem from our biological sense of perception, both in its promise for automation and heeding of its still prevalent weaknesses. Computer vision, as it is known, is a rapidly growing sub-field of computer science that creates use out of visual input utilizing various vision models and algorithms. Naturally these models and algorithms vary widely in terms of correctness, robustness, and degeneracy, especially when operating under disparate environments and conditions. Many publications explore the goal of developing new and robust vision models or algorithms, but less so explore the comparisons between those that already exist. The purpose of this paper is to detail the performance of Visual SLAM with other modern computer vision models (such as PTAM, ORB-SLAM, DSO, LSD, etc.) to produce a standard by which full comparisons may be drawn for both disparate environmental and conditional datasets. It is hoped that this paper will inform others in academia of the current state of computer vision models and help determine when the use of one model should be preferred over another given a certain environment and/or operating condition

Perfectionism, self-discrepancy, and disordered eating in black and white women

The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.Title from title screen of research.pdf file viewed on (June 27, 2007)Vita.Includes bibliographical references.Thesis (M.A.) University of Missouri-Columbia 2006.Dissertations, Academic -- University of Missouri--Columbia -- Psychology.The current study investigates the relation between perfectionism and self-discrepancy, and whether their confluence predicts later disordered eating in a sample of Black and White college women. The combination of high perfectionism and high self-discrepancy was expected to prospectively predict dieting and bulimic symptoms after controlling for baseline dieting and bulimic symptoms. Method: Self-report questionnaires were administered to 97 Black and 179 White college women at two time points spaced about five months apart. Maladaptive and adaptive perfectionism and ideal and ought self-discrepancies were assessed. Dieting was measured using the Restraint subscale of the Three-Factor Eating Questionnaire (TFEQ) and bulimic symptoms were measured using the Bulimia Test-Revised (BULIT-R). Results: In general the study hypotheses were not observed. However, important racial differences in the interaction of these risk factors were evidenced. Conclusion: Ideal and ought self-discrepancies, alone and in interaction with perfectionism, were consistent predictors of subsequent dieting and bulimic symptoms, though not always in the hypothesized directions. These risk factors seem to function differently for Black women compared to White women

Overtime in Law Enforcement

Examines issues related to overtime for police officers

Antitumor activity of motesanib alone and in combination with cisplatin or docetaxel in multiple human non–small-cell lung cancer xenograft models

Abstract Background Non–small-cell lung cancer (NSCLC) is categorized into various histologic subtypes that play an important role in prognosis and treatment outcome. We investigated the antitumor activity of motesanib, a selective antagonist of vascular endothelial growth factor receptors (VEGFR) 1, 2, and 3, platelet-derived growth factor receptor, and Kit, alone and combined with chemotherapy in five human NSCLC xenograft models (A549, Calu-6, NCI-H358, NCI-H1299, and NCI-H1650) containing diverse genetic mutations. Results Motesanib as a single agent dose-dependently inhibited tumor xenograft growth compared with vehicle in all five of the models (P P P P  Conclusions These data demonstrate that motesanib had antitumor activity against five different human NSCLC xenograft models containing diverse genetic mutations, and that it had enhanced activity when combined with cisplatin or docetaxel. These effects appeared to be mediated primarily by antiangiogenic mechanisms.</p