Pattern Recognition Applications and Methods

Name: Pattern Recognition Applications and Methods | 5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers
Brand: Springer
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5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers

Ana Fred Maria De Marsico Gabriella Sanniti di Baja(Editor)

Springer (Publisher)

Published on 8. February 2017

XVI, 243 pages

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978-3-319-53375-9 (ISBN)

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Content

Intro
Preface
Organization
Contents
Experimental Evaluation of Graph Classification with Hadamard Code Graph Kernels
1 Introduction
2 Graph Kernels
2.1 Framework of Representative Graph Kernels
2.2 Drawbacks of Existing Graph Kernels
3 Graph Kernels Based on the Hadamard Code
4 Experimental Evaluation
4.1 Experiments on Artificial Datasets
4.2 Experiments on Real-World Graphs
4.3 Effect of Assignment of Initial Labels
5 Conclusion
References
Document Clustering Games in Static and Dynamic Scenarios
1 Introduction
2 Game Theory
3 Dominant Set Clustering
4 Document Clustering Games
4.1 Document Representation
4.2 Data Preparation
4.3 Graph Construction
4.4 Clustering
4.5 Strategy Space Implementation
4.6 Clustering Games
5 Experimental Setup
5.1 Basic Experiments
5.2 Experiments with Feature Selection
5.3 Experiments with LSA
5.4 Comparison with State-of-the-Art Algorithms
5.5 Experiments with No Cluster Number
5.6 Experiments on Streaming Data
6 Conclusions
References
Criteria for Mixture-Model Clustering with Side-Information
1 Introduction
2 Clustering with Side-Information
2.1 Data Description
2.2 Mixture Model
3 Criteria
3.1 Criterion BIC
3.2 Criterion AIC
3.3 Criterion NEC
4 Results
4.1 Comparison of the Original and Adapted Versions of the Three Criteria
4.2 Influence of the Amount of Side-Information
4.3 Iris Data Set
4.4 Climatic Data
5 Conclusion
References
Near-Boolean Optimization: A Continuous Approach to Set Packing and Partitioning
1 Introduction
2 Set Partitioning: Full-Dimensional Case
3 Set Packing: Lower-Dimensional Case
4 Local Search
5 Near-Boolean Functions
5.1 Approximations
5.2 Equivalent Polynomials
5.3 MLE of Partition Functions
6 Near-Boolean Games
7 Conclusions
References
Approximate Inference in Related Multi-output Gaussian Process Regression
1 Introduction
2 Gaussian Process Regression
3 Multi-output Gaussian Process
3.1 Related Work
3.2 Multi-output Joint-Covariance Kernels
3.3 GP Regression Using Joint-Covariance
4 Approximating Inference
4.1 Variational Approximation on Multi-output GP
4.2 Distributed Inference on Multi-output GP
5 Experiments
5.1 Experiments on Theoretical Data
5.2 Experiments on Flight Test Data
6 Conclusions and Future Work
References
An Online Data Validation Algorithm for Electronic Nose
1 Introduction
1.1 Background
1.2 Motivation
1.3 Data Preparation
2 Data Analysis
3 Simulation
4 Experiment
5 Computational Complexity
6 Conclusion
References
Near-Duplicate Retrieval: A Benchmark Study of Modified SIFT Descriptors
1 Introduction
2 Near-Duplicate Images
3 Related Works
3.1 SIFT-128 D Descriptor
4 Region Compressed SIFT Descriptor
5 Evaluation
5.1 Benchmark Datasets
5.2 Evaluation Measures
6 Result and Analysis
6.1 UKbench Benchmark
6.2 Caltech-Buildings Benchmark
6.3 Combination of Image Affine Transformations
6.4 Combination of Blurring and Affine Transformation
7 Conclusion
References
Activity Recognition for Elderly Care by Evaluating Proximity to Objects and Human Skeleton Data
1 Introduction
2 Related Work
3 Activity Recognition Based on Proximity to Objects and Pose Information
3.1 Person Localisation
3.2 Pose Information
3.3 High-Level Reasoning Using Position and Pose Information
3.4 Analysis Method
3.5 Results and Discussion
4 System Enhancement with Skeleton-Based Activity Recognition
4.1 Actions
4.2 Sequence Duration and Frame Skipping
4.3 Feature Vectors
4.4 Results and Discussion
5 Conclusions and Future Work
References
Real-Time Swimmer Tracking on Sparse Camera Array
1 Introduction
2 Literature Review
3 The Site and the System Description
3.1 The Site
3.2 System
4 Planar Projection
4.1 Pre-computation and Post-computation
4.2 Error Analysis
4.3 Effect of Inaccurate Camera Placement to Traditional Calibration
5 Silhouette Tracking
6 Swimming Cycle Registration
7 Conclusions
References
Fundamentals of Nonparametric Bayesian Line Detection
1 Introduction
2 Bayesian Nonparametrics
3 Dirichlet Process
3.1 Dirichlet Mixture Model
3.2 Gibbs Sampling of Parameters
3.3 Gibbs Sampling of Clusters
4 Infinite Line Mixture Model
4.1 Bayesian Linear Regression Model
4.2 Conjugate Prior for the Bayesian Linear Regression Model
4.3 Implementation of Gibbs Sampling of Parameters
4.4 Implementation of Gibbs Sampling of Clusters
5 Results
5.1 Clustering Performance
5.2 Two Examples
6 Conclusions
References
Computing the Number of Bubbles and Tunnels of a 3-D Binary Object
Abstract
1 Introduction
2 Problem Statement
3 Related Work
3.1 Pioneers Works
3.2 Recent Works
4 Definitions
5 The Proposal: Theoretical Part
5.1 Number of Bubbles of a 3-D Object
5.2 Number of Tunnels of a 3-D Object
6 The Proposal: Practical Part
6.1 Procedure to Compute the Number of Bubbles and Tunnels of a 3-D Object
6.2 Procedure to Compute the Number of Bubbles and Tunnels of a Set of 3-D Objects
7 Results and Discussion
7.1 First Experiment
7.2 Second Experiment
7.3 Third Experiment
7.4 Fourth Experiment
8 Conclusions and Directions for Further Research
Acknowledgements
References
Raindrop Detection on a Windshield Based on Edge Ratio
1 Introduction
2 Raindrop Detection Method
2.1 Raindrop Detection in the Daytime
2.2 Raindrop Detection at Night
3 Experiments
4 Conclusion
References
Comparative Analysis of PRID Algorithms Based on Results Ambiguity Evaluation
1 Introduction
2 Methodology
2.1 Algorithm Description
2.2 Pre-processing Step
2.3 Post-processing Steps
3 Experiments and Results
4 Conclusion
References
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Pattern Recognition Applications and Methods

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