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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Cover of 'Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Pattern Recognition Systems under Attack
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    Chapter 2 Genetic Programming of Heterogeneous Ensembles for Classification
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    Chapter 3 Deletion Rules for Equivalent Sequential and Parallel Reductions
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    Chapter 4 Decomposing and Sketching 3D Objects by Curve Skeleton Processing
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    Chapter 5 Analysis of Dynamic Processes by Statistical Moments of High Orders
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    Chapter 6 Distance Transform Separable by Mathematical Morphology in GPU
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    Chapter 7 Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition
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    Chapter 8 Set Distance Functions for 3D Object Recognition
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    Chapter 9 Single-Step-Ahead and Multi-Step-Ahead Prediction with Evolutionary Artificial Neural Networks
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    Chapter 10 Conformal Hough Transform for 2D and 3D Cloud Points
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    Chapter 11 Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes
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    Chapter 12 A Genetic Algorithm-Evolved 3D Point Cloud Descriptor
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    Chapter 13 Reconstruction and Enumeration of hv -Convex Polyominoes with Given Horizontal Projection
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    Chapter 14 A Constraint Acquisition Method for Data Clustering
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    Chapter 15 Auto-encoder Based Data Clustering
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    Chapter 16 On the Generalization of the Mahalanobis Distance
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    Chapter 17 Encoding Classes of Unaligned Objects Using Structural Similarity Cross-Covariance Tensors
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    Chapter 18 Dynamic K : A Novel Satisfaction Mechanism for CAR-Based Classifiers
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    Chapter 19 Weighted Naïve Bayes Classifiers by Renyi Entropy
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    Chapter 20 CICE-BCubed: A New Evaluation Measure for Overlapping Clustering Algorithms
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    Chapter 21 Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features
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    Chapter 22 Multimodal Bone Cancer Detection Using Fuzzy Classification and Variational Model
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    Chapter 23 Extreme Learning Classifier with Deep Concepts
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    Chapter 24 Automatic Graph Building Approach for Spectral Clustering
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    Chapter 25 Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces
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    Chapter 26 New Penalty Scheme for Optimal Subsequence Bijection
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    Chapter 27 Missing Values in Dissimilarity-Based Classification of Multi-way Data
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    Chapter 28 A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context
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    Chapter 29 Bi-clustering via MDL-Based Matrix Factorization
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    Chapter 30 Kernel Spectral Clustering for Dynamic Data
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    Chapter 31 Feature Space Reduction for Graph-Based Image Classification
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    Chapter 32 Mixed Data Balancing through Compact Sets Based Instance Selection
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    Chapter 33 An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets
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    Chapter 34 Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach
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    Chapter 35 A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data
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    Chapter 36 On Stopping Rules in Dependency-Aware Feature Ranking
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    Chapter 37 Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space
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    Chapter 38 Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix
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    Chapter 39 Comparing Quality Measures for Contrast Pattern Classifiers
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    Chapter 40 Selecting Features with SVM
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    Chapter 41 Benchmarking Datasets for Breast Cancer Computer-Aided Diagnosis (CADx)
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    Chapter 42 Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm
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    Chapter 43 Online Matrix Factorization for Space Embedding Multilabel Annotation
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    Chapter 44 A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms
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    Chapter 45 A NSGA Based Approach for Content Based Image Retrieval
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    Chapter 46 Large Scale Image Indexing Using Online Non-negative Semantic Embedding
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    Chapter 47 Using Boundary Conditions for Combining Multiple Descriptors in Similarity Based Queries
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    Chapter 48 Stopping Criterion for the Mean Shift Iterative Algorithm
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    Chapter 49 Evolutionary Optimisation of JPEG2000 Part 2 Wavelet Packet Structures for Polar Iris Image Compression
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    Chapter 50 Improving Image Segmentation for Boosting Image Annotation with Irregular Pyramids
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    Chapter 51 Implementation of Non Local Means Filter in GPUs
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    Chapter 52 Wide-Angle Lens Distortion Correction Using Division Models
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    Chapter 53 Current Trends in the Algebraic Image Analysis: A Survey
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    Chapter 54 Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset
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    Chapter 55 CWMA: Circular Window Matching Algorithm
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    Chapter 56 A Histogram-Based Approach to Mathematical Line Segmentation
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    Chapter 57 Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors
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    Chapter 58 A Differential Method for Representing Spinal MRI for Perceptual-CBIR
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    Chapter 59 Image Segmentation Using Active Contours and Evidential Distance
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    Chapter 60 Threshold Estimation in Energy-Based Methods for Segmenting Birdsong Recordings
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    Chapter 61 Detection of Periodic Signals in Noise Based on Higher-Order Statistics Joined to Convolution Process and Spectral Analysis
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    Chapter 62 Hierarchical Models for Rescoring Graphs vs. Full Integration
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    Chapter 63 A Phonetic-Based Approach to Query-by-Example Spoken Term Detection
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    Chapter 64 Method to Correct Artifacts in Multilead ECG Using Signal Entropy
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    Chapter 65 Improvements to the HNR Estimation Based-on Generalized Variogram
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    Chapter 66 Using Three Reassigned Spectrogram Patches and Log-Gabor Filter for Audio Surveillance Application
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    Chapter 67 Dominant Set Approach to ECG Biometrics
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    Chapter 68 Onset and Peak Pattern Recognition on Photoplethysmographic Signals Using Neural Networks
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    Chapter 69 Gaussian Segmentation and Tokenization for Low Cost Language Identification
Overall attention for this book and its chapters
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Title
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Published by
Springer Berlin Heidelberg, November 2013
DOI 10.1007/978-3-642-41822-8
ISBNs
978-3-64-241821-1, 978-3-64-241822-8
Editors

Ruiz-Shulcloper, José, Sanniti di Baja, Gabriella

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 11%
Researcher 1 11%
Unknown 7 78%
Readers by discipline Count As %
Computer Science 1 11%
Engineering 1 11%
Unknown 7 78%