Gpca Inter Member Directory 1989
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Author | : Greater Philadelphia Cultural Alliance |
Publisher | : |
Total Pages | : 148 |
Release | : 1989* |
Genre | : Associations, institutions, etc |
ISBN | : |
Contains names and addresses of educational and cultural organizations belonging to the Greater Philadelphia Cultural Alliance, founded in 1972.
Author | : Greater Philadelphia Cultural Alliance |
Publisher | : |
Total Pages | : 114 |
Release | : 1988 |
Genre | : Associations, institutions, etc |
ISBN | : |
Author | : Greater Philadelphia Cultural Alliance |
Publisher | : |
Total Pages | : 56 |
Release | : 1981* |
Genre | : Associations, institutions, etc |
ISBN | : |
Contains names and addresses of educational and cultural organizations belonging to the Greater Philadelphia Cultural Alliance, founded in 1972.
Author | : Greater Philadelphia Cultural Alliance |
Publisher | : |
Total Pages | : 58 |
Release | : 1983* |
Genre | : Associations, institutions, etc |
ISBN | : |
Contains names and addresses of educational and cultural organizations belonging to the Greater Philadelphia Cultural Alliance, founded in 1972.
Author | : Greater Philadelphia Cultural Alliance |
Publisher | : |
Total Pages | : 54 |
Release | : 1985 |
Genre | : Associations, institutions, etc |
ISBN | : |
Contains names and addresses of educational and cultural organizations belonging to the Greater Philadelphia Cultural Alliance, founded in 1972.
Author | : René Vidal |
Publisher | : Springer |
Total Pages | : 590 |
Release | : 2016-04-11 |
Genre | : Science |
ISBN | : 0387878114 |
This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational methods for efficient and robust estimation and segmentation of one or multiple subspaces. The book also presents interesting real-world applications of these new methods in image processing, image and video segmentation, face recognition and clustering, and hybrid system identification etc. This book is intended to serve as a textbook for graduate students and beginning researchers in data science, machine learning, computer vision, image and signal processing, and systems theory. It contains ample illustrations, examples, and exercises and is made largely self-contained with three Appendices which survey basic concepts and principles from statistics, optimization, and algebraic-geometry used in this book. René Vidal is a Professor of Biomedical Engineering and Director of the Vision Dynamics and Learning Lab at The Johns Hopkins University. Yi Ma is Executive Dean and Professor at the School of Information Science and Technology at ShanghaiTech University. S. Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley.
Author | : IARC Working Group on the Evaluation of Carcinogenic Risks to Humans |
Publisher | : IARC |
Total Pages | : 354 |
Release | : 2004 |
Genre | : Health & Fitness |
ISBN | : 9789283212850 |
A working group of sixteen experts from seven countries re-evaluated the evidence of the carcinogenicity of betel-quid and areca-nut chewing and some areca-nut related nitrosamines. Betel-quid and areca-nut chewing are widely practised in many parts of Asia and in Asian-migrant communities elsewhere in the world. There are hundreds of millions of users worldwide. They evaluated betel quid with tobacco as carcinogenic to humans (Group 1) on the basis of sufficient evidence of an increased risk of cancer of the oral cavity, pharynx and oesophagus. The working group reviewed epidemiological studies of human cancer, mainly studies from India, Pakistan and Taiwan (China). Studies on betel quid with tobacco and areca nut with tobacco in experimental animals now also provide sufficient evidence of carcinogenicity. The working group also evaluated betel quid without tobacco as carcinogenic to humans (Group 1), on the basis of sufficient evidence of an increased risk of oral cancer. Studies on betel quid without tobacco and areca nut without tobacco in experimental animals now also provide sufficient evidence of carcinogenicity. Areca nut, a common ingredient of betel quid and many different chewing preparations, including those available commercially, has been observed to cause oral submucous fibrosis
Author | : Daniel Kahneman |
Publisher | : Cambridge University Press |
Total Pages | : 574 |
Release | : 1982-04-30 |
Genre | : Psychology |
ISBN | : 9780521284141 |
Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies.
Author | : Dorland |
Publisher | : Elsevier Health Sciences |
Total Pages | : 481 |
Release | : 2015-07-24 |
Genre | : Medical |
ISBN | : 0323442544 |
Medical acronyms and abbreviations offer convenience, but those countless shortcuts can often be confusing. Now a part of the popular Dorland's suite of products, this reference features thousands of terms from across various medical specialties. Its alphabetical arrangement makes for quick reference, and expanded coverage of symbols ensures they are easier to find. Effective communication plays an important role in all medical settings, so turn to this trusted volume for nearly any medical abbreviation you might encounter. - Symbols section makes it easier to locate unusual or seldom-used symbols. - Convenient alphabetical format allows you to find the entry you need more intuitively. - More than 90,000 entries and definitions. - Many new and updated entries including terminology in expanding specialties, such as Nursing; Physical, Occupational, and Speech Therapies; Transcription and Coding; Computer and Technical Fields. - New section on abbreviations to avoid, including Joint Commission abbreviations that are not to be used. - Incorporates updates suggested by the Institute for Safe Medication Practices (ISMP).
Author | : Matthew Turk |
Publisher | : Springer Nature |
Total Pages | : 119 |
Release | : 2022-05-31 |
Genre | : Computers |
ISBN | : 3031018117 |
As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below: - Traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter, recognition of objects, and activities; - Aggregating local information for wide area scene understanding, like obtaining stable, long-term tracks of objects; - Positioning of the cameras and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal sensing; - Distributed processing and scene analysis algorithms; - Resource constraints imposed by different applications like security and surveillance, environmental monitoring, disaster response, assisted living facilities, etc. In this book, we focus on the basic research problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The major underlying theme in all the work presented is to take a network-centric view whereby the overall decisions are made at the network level. This is sometimes achieved by accumulating all the data at a central server, while at other times by exchanging decisions made by individual cameras based on their locally sensed data. Chapter One starts with an overview of the problems in camera networks and the major research directions. Some of the currently available experimental testbeds are also discussed here. One of the fundamental tasks in the analysis of dynamic scenes is to track objects. Since camera networks cover a large area, the systems need to be able to track over such wide areas where there could be both overlapping and non-overlapping fields of view of the cameras, as addressed in Chapter Two: Distributed processing is another challenge in camera networks and recent methods have shown how to do tracking, pose estimation and calibration in a distributed environment. Consensus algorithms that enable these tasks are described in Chapter Three. Chapter Four summarizes a few approaches on object and activity recognition in both distributed and centralized camera network environments. All these methods have focused primarily on the analysis side given that images are being obtained by the cameras. Efficient utilization of such networks often calls for active sensing, whereby the acquisition and analysis phases are closely linked. We discuss this issue in detail in Chapter Five and show how collaborative and opportunistic sensing in a camera network can be achieved. Finally, Chapter Six concludes the book by highlighting the major directions for future research. Table of Contents: An Introduction to Camera Networks / Wide-Area Tracking / Distributed Processing in Camera Networks / Object and Activity Recognition / Active Sensing / Future Research Directions