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Bridging The Gap Between Graph Edit Distance And Kernel Machines
In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition of patterns in the graph domain — commonly …
Invariants For Pattern Recognition And Classification
This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to …
Fundamentals Of Robotics: Linking Perception To Action
Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. …
Introduction To Pattern Recognition: Statistical, Structural, Neural And Fuzzy Logic Approaches
This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the …
Data Mining In Time Series Databases
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This …
Web Document Analysis: Challenges And Opportunities
This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of …
Fighting Terror In Cyberspace
As became apparent after the tragic events of September 11, 2001, terrorist groups are increasingly using the Internet as a communication and propaganda tool where they can safely …
Document Analysis And Recognition With Wavelet And Fractal Theories
Many phenomena around the research in document analysis and understanding are much better described through the powerful multiscale signal representations than by traditional …
Image Processing For The Food Industry
This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and …
Ensemble Learning: Pattern Classification Using Ensemble Methods
This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a …
Graph-based Keyword Spotting
Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in …
Wavelet Theory Approach To Pattern Recognition (3rd Edition)
This 3rd edition tackles the basic principle of deep learning as well as the application of combination of wavelet theory with deep learning to pattern recognition. Five new …