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How do you distinguish a cat from a dog by their DNA? Pattern matching problems like these play a key role in areas such as computer science,... Læs mere
This handbook plays a fundamental role in sustainable progress in speech research and development.
This book will help students of Computer Science and Information Science to get a better understanding of Biometric Computing and its related... Læs mere
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years.
Focuses on a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. This title aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.
A thrilling investigation into whale science and animal communication, and a poignant look at how science may change our relationship with animals forever.
This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which... Læs mere
These proceedings present the state of the art in Spanish research on pattern recognition, image processing, speech recogintion, and artificial neural networks. Applications to medicine, geology and control are also discussed.
Introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. The text... Læs mere
Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment... Læs mere
A goldmine of timesaving Java Patterns The second edition of Mark Grand's bestseller has been completely updated for the latest releases of Java as well as incorporating information on many of the important enterprise-level concerns facing Java programmers today.