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Pattern Recognition

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Cover of 'Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 MAP-Inference for Highly-Connected Graphs with DC-Programming
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    Chapter 2 Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
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    Chapter 3 Simple Incremental One-Class Support Vector Classification
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    Chapter 4 A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
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    Chapter 5 Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields
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    Chapter 6 Boosting for Model-Based Data Clustering
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    Chapter 7 Improving the Run-Time Performance of Multi-class Support Vector Machines
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    Chapter 8 Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
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    Chapter 9 A Performance Evaluation of Single and Multi-feature People Detection
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    Chapter 10 Model-Based Motion Capture for Crash Test Video Analysis
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    Chapter 11 Efficient Tracking as Linear Program on Weak Binary Classifiers
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    Chapter 12 A Comparison of Region Detectors for Tracking
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    Chapter 13 Combining Densely Sampled Form and Motion for Human Action Recognition
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    Chapter 14 Recognition and Tracking of 3D Objects
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    Chapter 15 Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification
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    Chapter 16 Real-Time Neighborhood Based Disparity Estimation Incorporating Temporal Evidence
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    Chapter 17 A Novel Approach for Detection of Tubular Objects and Its Application to Medical Image Analysis
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    Chapter 18 Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma
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    Chapter 19 A Probabilistic Segmentation Scheme
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    Chapter 20 Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data
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    Chapter 21 Space-Time Multi-Resolution Banded Graph-Cut for Fast Segmentation
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    Chapter 22 Combination of Multiple Segmentations by a Random Walker Approach
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    Chapter 23 Automatic Detection of Learnability under Unreliable and Sparse User Feedback
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    Chapter 24 Novel VQ Designs for Discrete HMM On-Line Handwritten Whiteboard Note Recognition
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    Chapter 25 Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
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    Chapter 26 Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars
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    Chapter 27 Photoconsistent Relative Pose Estimation between a PMD 2D3D-Camera and Multiple Intensity Cameras
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    Chapter 28 Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach
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    Chapter 29 3D Body Scanning in a Mirror Cabinet
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    Chapter 30 On Sparsity Maximization in Tomographic Particle Image Reconstruction
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    Chapter 31 Resolution Enhancement of PMD Range Maps
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    Chapter 32 A Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow
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    Chapter 33 Decomposition of Quadratic Variational Problems
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    Chapter 34 A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
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    Chapter 35 Optical Rails
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    Chapter 36 Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting
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    Chapter 37 An Evolutionary Approach for Learning Motion Class Patterns
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    Chapter 38 Relative Pose Estimation from Two Circles
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    Chapter 39 Staying Well Grounded in Markerless Motion Capture
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    Chapter 40 An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
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    Chapter 41 Physically Consistent Variational Denoising of Image Fluid Flow Estimates
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    Chapter 42 Convex Hodge Decomposition of Image Flows
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    Chapter 43 Image Tagging Using PageRank over Bipartite Graphs
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    Chapter 44 On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering
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    Chapter 45 Comparing Local Feature Descriptors in pLSA-Based Image Models
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    Chapter 46 Example-Based Learning for Single-Image Super-Resolution
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    Chapter 47 Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation
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    Chapter 48 Deterministic Defuzzification Based on Spectral Projected Gradient Optimization
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    Chapter 49 Learning Visual Compound Models from Parallel Image-Text Datasets
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    Chapter 50 Measuring Plant Root Growth
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    Chapter 51 A Local Discriminative Model for Background Subtraction
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    Chapter 52 Perspective Shape from Shading with Non-Lambertian Reflectance
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    Chapter 53 The Conformal Monogenic Signal
Overall attention for this book and its chapters
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Mentioned by

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1 patent

Citations

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22 Dimensions

Readers on

mendeley
6 Mendeley
Summary Patents Dimensions citations
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Title
Pattern Recognition
Published by
Springer Berlin Heidelberg, June 2008
DOI 10.1007/978-3-540-69321-5
ISBNs
978-3-54-069320-8, 978-3-54-069321-5
Editors

Rigoll, Gerhard

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 17%
Student > Ph. D. Student 1 17%
Unknown 4 67%
Readers by discipline Count As %
Computer Science 2 33%
Unknown 4 67%

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