Shape and Topology Constrained Image Segmentation with Stochastic Models

The central theme of this thesis has been to develop robust algorithms for the task of image segmentation. All segmentation techniques that have been proposed in this thesis are based on the sound modeling of the image formation process. This approach to image partition enables the derivation of objective functions, which make all modeling assumptions explicit. Based on the Parametric Distributional Clustering (PDC) technique, improved variants have been derived, which explicitly incorporate topological assumptions in the corresponding cost functions. In this thesis, the questions of robustness and generalizability of segmentation solutions have been addressed in an empirical manner, giving comprehensive example sets for both problems. It has been shown, that the PDC framework is indeed capable of producing highly robust image partitions. In the context of PDC-based segmentation, a probabilistic representation of shape has been constructed. Furthermore, likelihood maps for given objects of interest were derived from the PDC cost function. Interpreting the shape information as a prior for the segmentation task, it has been combined with the likelihoods in a Bayesian setting. The resulting posterior probability for the occurrence of an object of a specified semantic category has been demonstrated to achieve excellent segmentation quality on very hard testbeds of images from the Corel gallery

Using credit risk models for regulatory capital: issues and options

The authors describe the issues and options that would be associated with the development of regulatory minimum capital standards for credit risk based on banks' internal risk measurement models. Their goal is to provide a sense of the features that an internal-models (IM) approach to regulatory capital would likely incorporate, and to stimulate discussion among financial institutions, supervisors, and other interested parties about the many practical and conceptual issues involved in structuring a workable IM regulatory capital regime for credit risk. The authors focus on three main areas: prudential standards defining the risk estimate to be used in the capital requirements, model standards describing the essential components of a comprehensive credit risk model, and validation techniques that could be used by supervisors and banks to assess model accuracy. The discussion highlights a range of alternatives for each of these areas.Bank capital ; Bank loans ; Risk ; Bank supervision

SciTech News Volume 71, No. 1 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division Aerospace Section of the Engineering Division 9 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 11 Reviews Sci-Tech Book News Reviews 12 Advertisements IEEE

Disentangling the Epistemic Failings of the 2008 Financial Crisis

I argue that epistemic failings are a significant and underappreciated moral hazard in the financial services industry. I argue further that an analysis of these epistemic failings and their means of redress is best developed by identifying policies and procedures that are likely to facilitate good judgment. These policies and procedures are “best epistemic practices.” I explain how best epistemic practices support good reasoning, thereby facilitating accurate judgments about risk and reward. Failures to promote and adhere to best epistemic practices contributed to the 2008 financial crisis. I identify and discuss some of the ways in which best epistemic practices were violated in the events that led to the crisis, with a focus on the role of the credit rating agencies. I go on to discuss some of the ways in which these failings have been redressed. I conclude by observing how proactive regulation for best epistemic practices might help us to anticipate and avoid future crises

The Sound Manifesto

Computing practice today depends on visual output to drive almost all user interaction. Other senses, such as audition, may be totally neglected, or used tangentially, or used in highly restricted specialized ways. We have excellent audio rendering through D-A conversion, but we lack rich general facilities for modeling and manipulating sound comparable in quality and flexibility to graphics. We need co-ordinated research in several disciplines to improve the use of sound as an interactive information channel. Incremental and separate improvements in synthesis, analysis, speech processing, audiology, acoustics, music, etc. will not alone produce the radical progress that we seek in sonic practice. We also need to create a new central topic of study in digital audio research. The new topic will assimilate the contributions of different disciplines on a common foundation. The key central concept that we lack is sound as a general-purpose information channel. We must investigate the structure of this information channel, which is driven by the co-operative development of auditory perception and physical sound production. Particular audible encodings, such as speech and music, illuminate sonic information by example, but they are no more sufficient for a characterization than typography is sufficient for a characterization of visual information.Comment: To appear in the conference on Critical Technologies for the Future of Computing, part of SPIE's International Symposium on Optical Science and Technology, 30 July to 4 August 2000, San Diego, C

Arctic–CHAMP: A program to study Arctic hydrology and its role in global change

The Arctic constitutes a unique and important environment that is central to the dynamics and evolution of the Earth system. The Arctic water cycle, which controls countless physical, chemical, and biotic processes, is also unique and important. These processes, in turn, regulate the climate, habitat, and natural resources that are of great importance to both native and industrial societies. Comprehensive understanding of water cycling across the Arctic and its linkage to global biogeophysical dynamics is a scientific as well as strategic policy imperative

Arctic–CHAMP: A program to study Arctic hydrology and its role in global change

The Arctic constitutes a unique and important environment that is central to the dynamics and evolution of the Earth system. The Arctic water cycle, which controls countless physical, chemical, and biotic processes, is also unique and important. These processes, in turn, regulate the climate, habitat, and natural resources that are of great importance to both native and industrial societies. Comprehensive understanding of water cycling across the Arctic and its linkage to global biogeophysical dynamics is a scientific as well as strategic policy imperative