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Advances in Intelligent Data Analysis XI

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Table of Contents

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    Book Overview
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    Chapter 1 Over-Fitting in Model Selection and Its Avoidance
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    Chapter 2 Intelligent Data Analysis of Human Genetic Data
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    Chapter 3 Queries for Data Analysis
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    Chapter 4 Advances in Intelligent Data Analysis XI
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    Chapter 5 Weighting Features for Partition around Medoids Using the Minkowski Metric
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    Chapter 6 On Initializations for the Minkowski Weighted K-Means
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    Chapter 7 A Skew- t -Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data
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    Chapter 8 Methodological Foundation for Sign Language 3D Motion Trajectory Analysis
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    Chapter 9 Advances in Intelligent Data Analysis XI
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    Chapter 10 Online Techniques for Dealing with Concept Drift in Process Mining
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    Chapter 11 Advances in Intelligent Data Analysis XI
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    Chapter 12 Advances in Intelligent Data Analysis XI
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    Chapter 13 Discriminative Dimensionality Reduction Mappings
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    Chapter 14 Advances in Intelligent Data Analysis XI
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    Chapter 15 Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation
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    Chapter 16 Advances in Intelligent Data Analysis XI
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    Chapter 17 MCut: A Thresholding Strategy for Multi-label Classification
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    Chapter 18 Improving Tag Recommendation Using Few Associations
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    Chapter 19 Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models
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    Chapter 20 Constrained Clustering Using SAT
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    Chapter 21 Advances in Intelligent Data Analysis XI
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    Chapter 22 Advances in Intelligent Data Analysis XI
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    Chapter 23 Analysis of Noisy Biosignals for Musical Performance
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    Chapter 24 Information Theoretic Approach to Improve Performance of Networked Control Systems
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    Chapter 25 Advances in Intelligent Data Analysis XI
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    Chapter 26 G e T_M ove : An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects
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    Chapter 27 Fuzzy Frequent Pattern Mining in Spike Trains
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    Chapter 28 Advances in Intelligent Data Analysis XI
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    Chapter 29 Advances in Intelligent Data Analysis XI
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    Chapter 30 Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields
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    Chapter 31 Patch-Based Data Analysis Using Linear-Projection Diffusion
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    Chapter 32 Dictionary Construction for Patch-to-Tensor Embedding
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    Chapter 33 Where Are We Going? Predicting the Evolution of Individuals
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    Chapter 34 Use of General Purpose GPU Programming to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images
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    Chapter 35 Intelligent Data Analysis by a Home-Use Human Monitoring Robot
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    Chapter 36 Advances in Intelligent Data Analysis XI
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    Chapter 37 Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm
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    Chapter 38 Unit Operational Pattern Analysis and Forecasting Using EMD and SSA for Industrial Systems
Attention for Chapter 31: Patch-Based Data Analysis Using Linear-Projection Diffusion
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Chapter title
Patch-Based Data Analysis Using Linear-Projection Diffusion
Chapter number 31
Book title
Advances in Intelligent Data Analysis XI
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-34156-4_31
Book ISBNs
978-3-64-234155-7, 978-3-64-234156-4
Authors

Moshe Salhov, Guy Wolf, Amir Averbuch, Pekka Neittaanmäki, Salhov, Moshe, Wolf, Guy, Averbuch, Amir, Neittaanmäki, Pekka

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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Computer Science 2 100%