by Steven L. Tanimoto (2012)
This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a "transparent" view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, and advanced extension of the calculator; and the Python window.
John Bradshaw
Influence de la famille sur la formation de la personnalité. Explique comment l'individu peut échapper aux pièges de comportement renforcés par la famille dysfonctionnelle, de la dépendance à la codépendance jusqu'à la perte de volonté et le déni. Montre comment s'en sortir, assumer ses blessures intérieures et découvrir son moi véritable. [SDM].
Geoffrey Hinton and Terrence J. Sejnowski
This volume, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
David Perkins
The past twenty years have seen breakthroughs from cognitive scientists investigating thinking and learning as well as school anthropologists probing the culture of classrooms, schools, and their community contexts; but these insights have yet to be applied to public education on a broad scale. Smart Schools shows how these findings can be effectively used within the classroom. Although there has been much debate over the state of American education today, and a variety of solutions have been offered ranging from school choice to national testing, little attention has been paid to how children actually learn to think. As Perking demonstrates, we cannot solve our education problems by simply redistributing power or by asking children to regurgitate facts on a multiple choice exam; rather we must look at the kinds of knowledge students typically acquire in school. As his own and others' research indicates, students from first grade on through college often have only the most fragile and superficial kind of knowledge even after considerable instruction in a subject. He shows where students typically make mistakes by examining the kinds of misguided strategies they use in trying to understand a topic. He also shows why traditional teaching approaches often result in the students' limited grasp of a subject. Perking then introduces an impressive array of methods that have been shown to dramatically increase a student's understanding.
Susan Moore, Doreen Rosenthal, and Anne Mitchell
Youth, AIDS and Sexually Transmitted Diseases presents a comprehensive analysis of the impact of these diseases on young people. It examines how their sexual behaviour has changed as a result of the threat of AIDS, and how useful models are for predicting those at risk. Drawing on insights from their own research in the field, the authors also use the voices of young people to illustrate their concerns, knowledge and attitudes about sexual health.