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Pattern Recognition Technologies and Applications Recent Advances~tqw~ darksiderg
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Size:64 MB
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Added:08/02/2008
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Last check:2009-06-08 02:02:25
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Comments:*******************************************************************************<br /> Pattern Recognition Technologies and Applications: Recent Advances <br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 67,304,297 bytes<br /> <br /> <br /> <br /> <br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> The nature of handwriting in our society has significantly altered over the ages <br /> due to the introduction of new technologies such as computers and the World Wide <br /> Web. With increases in the amount of signature verification needs, state of the <br /> art internet and paper-based automated recognition methods are necessary.<br /> <br /> Pattern Recognition Technologies and Applications: Recent Advances provides <br /> cutting-edge pattern recognition techniques and applications. Written by world-<br /> renowned experts in their field, this easy to understand book is a must have for <br /> those seeking explanation in topics such as on- and offline handwriting and <br /> speech recognition, signature verification, and gender classification. <br /> <br /> Table Of Contents<br /> <br /> Chapter I: Fusion of Segmentation Strategies for Off-Line Cursive Handwriting <br /> Recognition<br /> Chapter II: Elastic Matching Techniques for Handwritten Character Recognition<br /> Chapter III: State of the Art in Off-Line Signature Verification<br /> Chapter IV: An Automatic Offline Signature Verification and Forgery Detection <br /> System<br /> Chapter V: Introduction to Speech Recognition<br /> Chapter VI: Seeking Patterns for the Forensic Analysis of Handwriting and Speech<br /> Chapter VII: Image Pattern Recognition Based Morphological Structure and <br /> Applications <br /> Chapter VIII: Robust Face Recognition Technique for a Real-Time Embedded Face <br /> Recognition System<br /> Chapter IX: Occlusion Sequence Mining for Activity Discovery from Surveillance <br /> Videos<br /> Chapter X: Human Detection in Static Images<br /> Chapter XI: A Brain-Inspired Visual Pattern Recognition Architecture and its <br /> Applications<br /> Chapter XII: Significance of Logic Synthesis in FPGA-Based Design of Image and <br /> Signal Processing Systems<br /> Chapter XIII: A Novel Support Vector Machine with Class-Dependent Features for <br /> Biomedical Data <br /> Chapter XIV: A Unified Approach to Support Vector Machines<br /> Chapter XV: Cluster Ensemble and Multi-objective Clustering Methods<br /> Chapter XVI: Implementing Negative Correlation Learning in Evolutionary <br /> Ensembles with Suitable Speciation Techniques<br /> Chapter XVII: A Recurrent Probabilistic Neural Network for EMG Pattern <br /> Recognition<br /> <br /> Product Details<br /> <br /> * ISBN: 1599048078<br /> * ISBN-13: 9781599048079<br /> * Format: Hardcover, 435pp<br /> * Publisher: IGI Global<br /> * Pub. Date: April 2008<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> PDF Reader<br />
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| File | Size |
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Pattern Recognition Technologies and Applications Recent Advances~tqw~_darksiderg.nfo |
3.7 KB |
Pattern Recognition Technologies and Applications Recent Advances~tqw~_darksiderg.pdf |
64 MB |
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