Intelligent Information Processing VIII

1. Front Matter

   Pages I-XVII

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2. Machine Learning

   1. Front Matter

      Pages 1-1

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   2. An Attribute-Value Block Based Method of Acquiring Minimum Rule Sets: A Granulation Method to Construct Classifier

      • Zuqiang Meng, Qiuling Gan

      Pages 3-11

   3. Collective Interpretation and Potential Joint Information Maximization

      • Ryotaro Kamimura

      Pages 12-21

   4. A Novel Locally Multiple Kernel k-means Based on Similarity

      • Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu

      Pages 22-30

   5. Direction-of-Arrival Estimation for CS-MIMO Radar Using Subspace Sparse Bayesian Learning

      • Yang Bin, Huang Dongmei, Li Ding

      Pages 31-38

3. Data Mining

   1. Front Matter

      Pages 39-39

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   2. Application of Manifold Learning to Machinery Fault Diagnosis

      • Jiangping Wang, Tengfei Duan, Lujuan Lei

      Pages 41-49

   3. p-Spectral Clustering Based on Neighborhood Attribute Granulation

      • Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu

      Pages 50-58

   4. Assembly Sequence Planning Based on Hybrid Artificial Bee Colony Algorithm

      • Wenbing Yuan, Liang Chang, Manli Zhu, Tianlong Gu

      Pages 59-71

   5. A Novel Track Initiation Method Based on Prior Motion Information and Hough Transform

      • Jun Liu, Yu Liu, Wei Xiong

      Pages 72-77

4. Deep Learning

   1. Front Matter

      Pages 79-79

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   2. A Hybrid Architecture Based on CNN for Image Semantic Annotation

      • Yongzhe Zheng, Zhixin Li, Canlong Zhang

      Pages 81-90

   3. Convolutional Neural Networks Optimized by Logistic Regression Model

      • Bo Yang, Zuopeng Zhao, Xinzheng Xu

      Pages 91-96

   4. Event Detection with Convolutional Neural Networks for Forensic Investigation

      • Bo Yang, Ning Li, Zhigang Lu, Jianguo Jiang

      Pages 97-107

   5. Boltzmann Machine and its Applications in Image Recognition

      • Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou

      Pages 108-118

5. Social Computing

   1. Front Matter

      Pages 119-119

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   2. Trajectory Pattern Identification and Anomaly Detection of Pedestrian Flows Based on Visual Clustering

      • Li Li, Christopher Leckie

      Pages 121-131

   3. Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features

      • Meng Yang, Sutharshan Rajasegarar, Aravinda S. Rao, Christopher Leckie, Marimuthu Palaniswami

      Pages 132-141

   4. An Improved Genetic-Based Link Clustering for Overlapping Community Detection

      • Yong Zhou, Guibin Sun

      Pages 142-151

This book constitutes the refereed proceedings of the 9th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2016, held in Melbourne, VIC, Australia, in October 2016. The 24 full papers and 3 short papers presented were carefully reviewed and selected from more than 40 submissions. They are organized in topical sections on machine learning, data mining, deep learning, social computing, semantic web and text processing, image understanding, and brain-machine collaboration.

• algorithms
• artificial intelligence
• classification
• classifiers
• clustering
• computer crime
• data mining
• deep learning
• image processing
• information processing
• information retrieval
• machine learning
• Natural Language Processing (NLP)
• neural networks
• pattern recognition
• security
• semantics
• text processing
• World Wide Web

• Chinese Academy of Sciences , Beijing, China

  Zhongzhi Shi

• University of Salford , Salford, United Kingdom

  Sunil Vadera

• Deakin University , Burwood, Australia

  Gang Li

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