Juvenile Delinquency in a Diverse Society presents a fresh, critical examination of juvenile delinquency in the context of real communities and social policies— addressing many social factors that shape juvenile delinquency and its control, including race, ethnicity, class, gender, and sexuality. Authors Kristin A. Bates and Richelle S. Swan use true stories and contemporary examples to link theories of delinquency to current public policies and to existing community programs, encouraging readers to consider how theories of delinquency can be used to create new policies and programs in their own communities. The Third Edition includes a new chapter on policing and juveniles, updated scholarship that strengthens the integration of both classic and cutting-edge research, and updates to the book’s supportive pedagogical features to reflect current events and the experiences of diverse populations of youth. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations. We enumerate specific desirable traits for these representations: (1) intraclass invariance—to support recognition; (2) illumination and geometric invariance for robustness to imaging conditions; (3) support for prediction and synthesis to use the model to infer continuation of the pattern; (4) support for change detection to detect anomalies and perturbations; and (5) support for physics-based interpretation to infer system properties from appearance. In recent years, computer vision has undergone a metamorphosis with classic algorithms adapting to new trends in deep learning. This text provides a tour of algorithm evolution including pattern recognition, segmentation and synthesis. We consider the general relevance and prominence of visual pattern analysis and applications that rely on computational models.
This book reviews the literature on a number of techniques and treatment approaches designed for use with adolescent conduct disorder and young offenders. The authors also provide an overview of the condition including its developmental pathway; the criteria for diagnosing conduct disorder, and services for adolescents.
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