Learn how to apply cognitive principles to the problems of computer vision Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in bio
A comprehensive and timely overview of this important and hot topic, with special emphasis placed on environmental applications and the potential for solar light harvesting. Following introductory cha
Teaching organic chemistry places heavy emphasis on reaction mechanisms or "arrow-pushing." Here is the first book to apply the arrow-pushing method to teaching inorganic chemistry. With the reaction
In contrast to previous texts focusing on either computational, structural or synthetic methods, this one-of-a-kind guide integrates all three skill sets for a complete picture of contemporary structu
A practical guide to the practices and procedures of effectively managing banking risksManaging Risks in Commercial and Retail Banking takes an in-depth, logical look at dealing with all aspects of ri
"Letters to a young ..." has been a much-loved way for professionals in a field to convey their enthusiasm and the realities of what they do to the next generation. Now, Letters to a Young Chemist doe
In this ground-breaking practical reference, the family of aspartic acid proteases is described from a drug developer's perspective. The first part provides a general introduction to the family of asp
The book covers self-healing concepts for all important material classes and their applications: polymers, ceramics, non-metallic and metallic coatings, alloys, nanocomposites, concretes and cements,
This first book to concentrate on providing a concise, representative overview of polymer microencapsulation for novel organic coatings and all its chemical and engineering aspects collates the litera
For over 40 years, David Hurles documented the hidden world of rough trade and rent boys posing, masturbating, wrestling, or boxing. His models ranged from drifters and grifters to hustlers and ex-con
The only comprehensive guide to the theory and practice of one of today's most important probabilistic techniquesThe past 15 years have witnessed many significant advances in sequential estimation, es
