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Advanced Analysis and Learning on Temporal Data

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Cover of 'Advanced Analysis and Learning on Temporal Data'

Table of Contents

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    Book Overview
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    Chapter 1 Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization
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    Chapter 2 Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
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    Chapter 3 Dimension Reduction in Dissimilarity Spaces for Time Series Classification
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    Chapter 4 Fuzzy Clustering of Series Using Quantile Autocovariances
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    Chapter 5 A Reservoir Computing Approach for Balance Assessment
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    Chapter 6 Learning Structures in Earth Observation Data with Gaussian Processes
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    Chapter 7 Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes
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    Chapter 8 Estimating Dynamic Graphical Models from Multivariate Time-Series Data: Recent Methods and Results
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    Chapter 9 A Multi-modal Metric Learning Framework for Time Series k NN Classification
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    Chapter 10 A Comparison of Progressive and Iterative Centroid Estimation Approaches Under Time Warp
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    Chapter 11 Coarse-DTW for Sparse Time Series Alignment
Attention for Chapter 6: Learning Structures in Earth Observation Data with Gaussian Processes
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