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Pattern Recognition Applications and Methods

Overview of attention for book
Cover of 'Pattern Recognition Applications and Methods'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Experimental Evaluation of Graph Classification with Hadamard Code Graph Kernels
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    Chapter 2 Document Clustering Games in Static and Dynamic Scenarios
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    Chapter 3 Criteria for Mixture-Model Clustering with Side-Information
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    Chapter 4 Near-Boolean Optimization: A Continuous Approach to Set Packing and Partitioning
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    Chapter 5 Approximate Inference in Related Multi-output Gaussian Process Regression
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    Chapter 6 An Online Data Validation Algorithm for Electronic Nose
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    Chapter 7 Near-Duplicate Retrieval: A Benchmark Study of Modified SIFT Descriptors
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    Chapter 8 Activity Recognition for Elderly Care by Evaluating Proximity to Objects and Human Skeleton Data
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    Chapter 9 Real-Time Swimmer Tracking on Sparse Camera Array
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    Chapter 10 Fundamentals of Nonparametric Bayesian Line Detection
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    Chapter 11 Computing the Number of Bubbles and Tunnels of a 3-D Binary Object
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    Chapter 12 Raindrop Detection on a Windshield Based on Edge Ratio
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    Chapter 13 Comparative Analysis of PRID Algorithms Based on Results Ambiguity Evaluation
Attention for Chapter 1: Experimental Evaluation of Graph Classification with Hadamard Code Graph Kernels
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Chapter title
Experimental Evaluation of Graph Classification with Hadamard Code Graph Kernels
Chapter number 1
Book title
Pattern Recognition Applications and Methods
Published by
Springer, Cham, February 2016
DOI 10.1007/978-3-319-53375-9_1
Book ISBNs
978-3-31-953374-2, 978-3-31-953375-9
Authors

Tetsuya Kataoka, Akihiro Inokuchi, Kataoka, Tetsuya, Inokuchi, Akihiro

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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