Intelligent Information Processing VIII

Table of Contents

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   Book Overview
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   Chapter 1 An Attribute-Value Block Based Method of Acquiring Minimum Rule Sets: A Granulation Method to Construct Classifier
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   Chapter 2 Collective Interpretation and Potential Joint Information Maximization
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   Chapter 3 A Novel Locally Multiple Kernel k-means Based on Similarity
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   Chapter 4 Direction-of-Arrival Estimation for CS-MIMO Radar Using Subspace Sparse Bayesian Learning
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   Chapter 5 Application of Manifold Learning to Machinery Fault Diagnosis
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   Chapter 6 p-Spectral Clustering Based on Neighborhood Attribute Granulation
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   Chapter 7 Assembly Sequence Planning Based on Hybrid Artificial Bee Colony Algorithm
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   Chapter 8 A Novel Track Initiation Method Based on Prior Motion Information and Hough Transform
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    Chapter 9 A Hybrid Architecture Based on CNN for Image Semantic Annotation
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    Chapter 10 Convolutional Neural Networks Optimized by Logistic Regression Model
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    Chapter 11 Event Detection with Convolutional Neural Networks for Forensic Investigation
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    Chapter 12 Boltzmann Machine and its Applications in Image Recognition
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    Chapter 13 Trajectory Pattern Identification and Anomaly Detection of Pedestrian Flows Based on Visual Clustering
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    Chapter 14 Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features
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    Chapter 15 An Improved Genetic-Based Link Clustering for Overlapping Community Detection
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    Chapter 16 Opinion Targets Identification Based on Kernel Sentences Extraction and Candidates Selection
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    Chapter 17 A Study of URI Spotting for Question Answering over Linked Data (QALD)
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    Chapter 18 Short Text Feature Extension Based on Improved Frequent Term Sets
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    Chapter 19 Research on Domain Ontology Generation Based on Semantic Web
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    Chapter 20 Towards Discovering Covert Communication Through Email Spam
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    Chapter 21 Combining Statistical Information and Semantic Similarity for Short Text Feature Extension
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    Chapter 22 Automatic Image Annotation Based on Semi-supervised Probabilistic CCA
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    Chapter 23 A Confidence Weighted Real-Time Depth Filter for 3D Reconstruction
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    Chapter 24 Noisy Control About Discrete Liner Consensus Protocol
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    Chapter 25 Incomplete Multi-view Clustering
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    Chapter 26 Brain-Machine Collaboration for Cyborg Intelligence
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    Chapter 27 A Cyclic Cascaded CRFs Model for Opinion Targets Identification Based on Rules and Statistics