Very Good,No Highlights or Markup,all pages are intact.

Relaxation Techniques provides the health care professional with a practical introduction to 17 different relaxation techniques that may usefully contribute to patient care. Each technique is easy to teach and use, and has been shown to be effective in the clinical situation. The background theory to each method is also described and its rationale spelled out, thus helping the clinician to select the appropriate technique. All the methods included are suitable for use with both small groups and individuals. Focuses on the practical aspects of relaxation techniques in relation to patient care Includes both psychological and physical approaches to relaxation Provides ready-to-use schedules and scripts for use with clients Discusses the pitfalls as well as the benefits of each method Fully illustrated with both line drawings and photographs Evidence-based text is supported by over 400 references

This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997. The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.

This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996. The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.

Techniques for 3-D Machine Perception