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Table of Contents
Preface; Organization; SIREN Executive Committee; SIREN International Advisory Committee; Program Committee; Sponsoring Institutions; Contents; Introduction; 1 Redefining Information Processing Through Neural Computing Models; Abstract; 1.1 Introduction; 1.2 Content of This Book; 1.3 Conclusion; References; Algorithms; 2 A Neural Approach for Hybrid Events Discrimination at Stromboli Volcano; Abstract; 2.1 Introduction; 2.2 Seismic Signals at Stromboli Volcano; 2.3 Data Parametrization; 2.4 MLP Technique; 2.5 Results; 2.6 Conclusions; References
3 Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering AlgorithmAbstract; 3.1 Introduction; 3.2 Related Works; 3.3 Patients and Methods; 3.3.1 Patient Dataset Composition; 3.3.2 The Proposed Prostate Segmentation Method; 3.4 Segmentation Results; 3.4.1 Evaluation Metrics and Achieved Experimental Results; 3.5 Conclusions and Future Works; References; 4 Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent'' and "Symmetry-Aware'' White Matter Fiber-Bundles; 4.1 Introduction
5.6 ConclusionsReferences; 6 Effective Blind Source Separation Based on the Adam Algorithm; 6.1 Introduction; 6.2 The Blind Source Separation Problem; 6.3 The Adam Algorithm; 6.4 Modified InfoMax Algorithm; 6.5 Experimental Results; 6.6 Conclusions; References; ANN Applications; 7 Depth-Based Hand Pose Recognizer Using Learning Vector Quantization; 7.1 Introduction; 7.2 The Hand Pose Recognizer; 7.2.1 Segmentation Module; 7.2.2 Feature Extractor; 7.2.3 The Classifier; 7.3 Experimental Results; 7.4 Conclusions; References
8 Correlation Dimension-Based Recognition of Simple Juggling Movements8.1 Introduction; 8.2 Correlation Dimension; 8.3 Juggler's Arm Movement Recognition; 8.3.1 Feature Extraction and Classification Phases; 8.4 Experimental Results; 8.5 Conclusions; References; 9 Cortical Phase Transitions as an Effect of Topology of Neural Network; 9.1 Introduction; 9.2 The Model; 9.2.1 Learning and Pruning Procedures; 9.2.2 Shuffling Procedure; 9.3 Results; 9.4 Conclusion; References; 10 Human Fall Detection by Using an Innovative Floor Acoustic Sensor; 10.1 Introduction; 10.1.1 Related Work
3 Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering AlgorithmAbstract; 3.1 Introduction; 3.2 Related Works; 3.3 Patients and Methods; 3.3.1 Patient Dataset Composition; 3.3.2 The Proposed Prostate Segmentation Method; 3.4 Segmentation Results; 3.4.1 Evaluation Metrics and Achieved Experimental Results; 3.5 Conclusions and Future Works; References; 4 Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent'' and "Symmetry-Aware'' White Matter Fiber-Bundles; 4.1 Introduction
5.6 ConclusionsReferences; 6 Effective Blind Source Separation Based on the Adam Algorithm; 6.1 Introduction; 6.2 The Blind Source Separation Problem; 6.3 The Adam Algorithm; 6.4 Modified InfoMax Algorithm; 6.5 Experimental Results; 6.6 Conclusions; References; ANN Applications; 7 Depth-Based Hand Pose Recognizer Using Learning Vector Quantization; 7.1 Introduction; 7.2 The Hand Pose Recognizer; 7.2.1 Segmentation Module; 7.2.2 Feature Extractor; 7.2.3 The Classifier; 7.3 Experimental Results; 7.4 Conclusions; References
8 Correlation Dimension-Based Recognition of Simple Juggling Movements8.1 Introduction; 8.2 Correlation Dimension; 8.3 Juggler's Arm Movement Recognition; 8.3.1 Feature Extraction and Classification Phases; 8.4 Experimental Results; 8.5 Conclusions; References; 9 Cortical Phase Transitions as an Effect of Topology of Neural Network; 9.1 Introduction; 9.2 The Model; 9.2.1 Learning and Pruning Procedures; 9.2.2 Shuffling Procedure; 9.3 Results; 9.4 Conclusion; References; 10 Human Fall Detection by Using an Innovative Floor Acoustic Sensor; 10.1 Introduction; 10.1.1 Related Work