This book constitutes the refereed proceedings of the Second International Workshop on Human Interactive Proofs, HIP 2005, held in Bethlehem, PA, USA in May 2005. The 9 revised full papers presented were carefully reviewed and selected for presentation. This book is the first archival publication devoted to the new class of security protocols called human interactive proofs. The variant of HIPs being used in e-commerce and Web services today is completely automatic public Turing tests to tell computers and humans apart, CAPTCHAs. The papers in this book are organized in topical sections on CAPTCHAs and performance analysis, HIP architectures, HIP as security systems components.
Two Storms is a story of the diagnosis, treatment, and recovery from prostate cancer, set in New Orleans in the aftermath of Hurricane Katrina and the failure of the levees. Iain Baird describes in detail each step along the path from diagnosis to recovery. With honesty, candidness, and a surprising amount of humor, Baird sets forth the physical and emotional challenges facing men struck with prostate cancer. As the author makes his own way through treatment and recuperation, he shares that journey with the City of New Orleans, embarked on its own voyage toward renewal. Two Storms is must reading for any man facing a diagnosis of prostate cancer. It is also an essential volume for the women, families, and friends supporting men undergoing treatment and recovery. While there are many sources for technical and medical information about the disease, this is one of the few fi rst-hand, personal, completely frank accounts describing the day-to-day challenges in dealing with prostate cance
This work deals with the computer vision problem of recognizing and locating rigid shapes in the plane which have been subjected to unknown rotation, scaling, and noise. The recognition task includes both locating the overall pattern and identifying each of its features. Location is achieved by finding a geometric registration function that does a good job of superimposing the instance and the model. Identifying the features requires matching each model feature with the corresponding instance feature. A pruned tree-search algorithm is developed which makes effective use of the Soviet ellipsoid algorithm for feasibility of linear constraints. An interesting blend of theoretical analysis and practical implementation shows that the resulting algorithm has an expected runtime that is theoretically asymptotically quadratic in the number of feature points, but practically linear in n for patterns with fewer than 100 points. Contents: Introduction; Task Abstraction; Prior Approaches; A Linear Programming Approach; Geometry of Registrations and Ellipsoids; Worst-Case Number of Feasible Matchings; Random Patterns; Expected Cost of Feasibility Testing; Expected Size of Search Tree; Monte Carlo Trials; Conclusions. Henry S. Baird received his doctorate from Princeton University. He is currently a technical staff member et AT & T Bell Laboratories. Model-Based Image Matching Using Location is a 1984 ACM Distinguished Dissertation.
Fully illustrated with stills from the film, this is the story of Cass Pennant, an orphaned Jamaican baby who grows up to become a notorious football hooligan. We follow Cass' search for his identity among the hooligan tribes of East London during the 1970s and 1980s.
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