TY  - BOOK
AU  - Bunke,Horst
AU  - Kandel,Abraham
AU  - Last,Mark
ED  - SpringerLink (Online service)
TI  - Applied Pattern Recognition
T2  - Studies in Computational Intelligence,
SN  - 9783540768319
AV  - TA329-348 
U1  - 519 23
PY  - 2008///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Mathematics
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Pattern Recognition
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Applications of Mathematics
N1  - Face Recognition Applications -- Skin-based Face Detection-Extraction and Recognition of Facial Expressions -- Facial Image Processing -- Face Recognition and Pose Estimation with Parametric Linear Subspaces -- Spatio-Temporal Patterns -- 4D Segmentation of Cardiac Data Using Active Surfaces with Spatiotemporal Shape Priors -- Measuring Similarity Between Trajectories of Mobile Objects -- Graph-Based Methods -- Matching of Hypergraphs — Algorithms, Applications, and Experiments -- Feature-Driven Emergence of Model Graphs for Object Recognition and Categorization -- Special Applications -- A Wavelet-based Statistical Method for Chinese Writer Identification -- Texture Analysis by Accurate Identification of a Generic Markov–Gibbs Model
N2  - A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new tasks characterized by tight real-time requirements (e.g., person identification) and/or high complexity of raw data (e.g., clustering trajectories of mobile objects). The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains
UR  - http://dx.doi.org/10.1007/978-3-540-76831-9
ER  -