correlation pattern recognition

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Correlation Pattern Recognition

Author : B. V. K. Vijaya Kumar
ISBN : 1139447122
Genre : Computers
File Size : 32. 89 MB
Format : PDF
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Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This 2005 book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.

Correlation Pattern Recognition

Author : B. V. K. Vijaya Kumar
ISBN : 0521153484
Genre : Computers
File Size : 40. 95 MB
Format : PDF, Kindle
Download : 531
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Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This 2005 book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.

Correlation Pattern Recognition

Author : B. V. K. Vijaya Kumar
ISBN : 0511136803
Genre : Correlation (Statistics)
File Size : 31. 61 MB
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A review of the background material needed for correlation pattern recognition for graduate students and practitioners.

Selected Papers On Optical Pattern Recognition Using Joint Transform Correlation

Author : Mohammad S. Alam
ISBN : UOM:39015041885891
Genre : Computers
File Size : 21. 70 MB
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SPIE Milestones are collections of seminal papers from the world literature covering important discoveries and developments in optics and photonics.

Advances In Structural And Syntactical Pattern Recognition

Author : Petra Perner
ISBN : 3540615776
Genre : Computers
File Size : 73. 78 MB
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This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996. The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.

Machine Learning And Data Mining In Pattern Recognition

Author : Petra Perner
ISBN : 9783642030703
Genre : Computers
File Size : 68. 16 MB
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There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.

Progress In Pattern Recognition Image Analysis Computer Vision And Applications

Author : Eduardo Bayro Corrochano
ISBN : 9783642102677
Genre : Computers
File Size : 61. 53 MB
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This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009. The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.

Analysis On Low Resolution Image Correlation Pattern Recognition Algorithm In Finite Space

Author :
ISBN : OCLC:1027106562
Genre :
File Size : 20. 92 MB
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Abstract: Because traditional correlation pattern recognition algorithm cannot accurately identify low-resolution images, a low-resolution image correlation pattern recognition algorithm based on block-centric symmetric local binary model and weighted principal component analysis algorithm is proposed. Firstly, the feature of low-resolution image is extracted by using block CS-LBP operator. The weighted PCA operator is used to reduce the feature, and the classification feature is obtained. Secondly, the optimal classification class is selected by the nearest neighbor classifier, the recognition rate is calculated, and the whole algorithm is analyzed. Finally, the experiment is carried out. The experimental results showed that the algorithm has good recognition effect on ORL, and it is robust to the change of light and weather.

Pattern Recognition

Author : Jose Francisco Martinez Trinidad
ISBN : 9783642215872
Genre : Computers
File Size : 43. 10 MB
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This book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing.

Pattern Recognition For Reliability Assessment Of Water Distribution Networks

Author : N. Trifunovic
ISBN : 9781466558021
Genre : Technology & Engineering
File Size : 32. 14 MB
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This study investigates the patterns that describe reliability of water distribution networks focusing to the node connectivity, energy balance, and economics of construction, operation and maintenance. A number of measures to evaluate the network resilience has been developed and assessed to arrive at more accurate diagnostics of regular and irregular demand scenarios. These measures have been proposed as a part of the methodology for snap-shot assessment of network reliability based on its configuration and hydraulic performance. Practical outcome of the research is the decision support tool for reliability-based design of water distribution networks. This computer package named NEDRA (NEtwork Design and Reliability Assessment) consists of the modules for network generation, filtering, initialisation, optimisation, diagnostics and cost calculation, which can be used for sensitivity analyses of single network layout or assessments of multiple layouts. The study concludes that none of the analysed aspects develops clear singular patterns. Nevertheless, the proposed network buffer index (NBI) and the hydraulic reliability diagram (HRD) as visual representation of the network resilience give sufficient snap-shot pointing the composition of the index value, and displaying possible weak points in the network that can be hidden behind the averaged values of various reliability measures.

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