Book Volume 7988 2013

Machine Learning and Data Mining in Pattern Recognition

9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013. Proceedings

Editors:

ISBN: 978-3-642-39711-0 (Print) 978-3-642-39712-7 (Online)

Table of contents (49 chapters)

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  1. Front Matter

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    Pages 1-15

    The Gapped Spectrum Kernel for Support Vector Machines

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    Pages 16-26

    Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning

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    Pages 27-41

    Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks

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    Pages 42-56

    Multi Model Transfer Learning with RULES Family

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    Pages 57-68

    3D Geovisualisation Techniques Applied in Spatial Data Mining

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    Pages 69-83

    Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow

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    Pages 84-98

    Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words

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    Pages 99-114

    Classification and Outlier Detection Based on Topic Based Pattern Synthesis

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    Pages 115-129

    Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition

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    Pages 130-143

    Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering

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    Chapter

    Pages 144-158

    Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease

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    Pages 159-168

    Multi-document Text Summarization Using Topic Model and Fuzzy Logic

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    Pages 169-182

    A Pattern Based Two-Stage Text Classifier

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    Pages 183-194

    Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation

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    Pages 195-208

    Relevance as a Metric for Evaluating Machine Learning Algorithms

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    Pages 209-218

    Preceding Rule Induction with Instance Reduction Methods

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    Pages 219-233

    Analytic Feature Selection for Support Vector Machines

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    Pages 234-245

    Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform

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    Chapter

    Pages 246-259

    SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms

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    Chapter

    Pages 260-274

    Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland

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