Neural Information Processing, Part III Front Cover

Neural Information Processing, Part III

  • Length: 938 pages
  • Edition: 1st ed. 2017
  • Publisher:
  • Publication Date: 2017-12-02
  • ISBN-10: 3319700898
  • ISBN-13: 9783319700892
Description

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III (Lecture Notes in Computer Science)

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563  full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.

Table of Contents

Part 1 Computer Vision
Chapter 1. Scanpath Prediction Based on High-Level Features and Memory Bias
Chapter 2. Revisiting Faster R-CNN: A Deeper Look at Region Proposal Network
Chapter 3. A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking
Chapter 4. Spatial Quality Aware Network for Video-Based Person Re-identification
Chapter 5. Robust Visual Tracking via Occlusion Detection Based on Depth-Layer Information
Chapter 6. Object Tracking Based on Mean Shift Algorithm and Kernelized Correlation Filter Algorithm
Chapter 7. Deep Encoding Features for Instance Retrieval
Chapter 8. Discriminative Semi-supervised Learning Based on Visual Concept-Like Features
Chapter 9. Pedestrian Counting System Based on Multiple Object Detection and Tracking
Chapter 10. Mixture of Matrix Normal Distributions for Color Image Inpainting
Chapter 11. RGB-D Tracking Based on Kernelized Correlation Filter with Deep Features
Chapter 12. Convolutional Gated Recurrent Units Fusion for Video Action Recognition
Chapter 13. Stereo Matching Using Conditional Adversarial Networks
Chapter 14. A Point and Line Features Based Method for Disturbed Surface Motion Estimation
Chapter 15. Improving Object Detection with Convolutional Neural Network via Iterative Mechanism
Chapter 16. An Improved Random Walk Algorithm for Interactive Image Segmentation
Chapter 17. Scene Recognition Based on Multi-feature Fusion for Indoor Robot
Chapter 18. Correlation Filters with Adaptive Memories and Fusion for Visual Tracking
Chapter 19. End-to-End Chinese Image Text Recognition with Attention Model
Chapter 20. Application of Data Augmentation Methods to Unmanned Aerial Vehicle Monitoring System for Facial Camouflage Recognition
Chapter 21. 3D Reconstruction with Multi-view Texture Mapping
Chapter 22. Online Tracking with Convolutional Neural Networks
Chapter 23. Sharp and Real Image Super-Resolution Using Generative Adversarial Network
Chapter 24. An ELU Network with Total Variation for Image Denoising
Chapter 25. End-to-End Disparity Estimation with Multi-granularity Fully Convolutional Network
Chapter 26. MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost
Chapter 27. Improving Deep Crowd Density Estimation via Pre-classification of Density
Chapter 28. A Pixel-to-Pixel Convolutional Neural Network for Single Image Dehazing
Chapter 29. Level Set Based Online Visual Tracking via Convolutional Neural Network
Chapter 30. End-to-End Scene Text Recognition with Character Centroid Prediction
Chapter 31. Region-Based Face Alignment with Convolution Neural Network Cascade
Chapter 32. Generating Low-Rank Textures via Generative Adversarial Network
Chapter 33. Deep Salient Object Detection via Hierarchical Network Learning
Chapter 34. Multi-scale Region Proposal Network Trained by Multi-domain Learning for Visual Object Tracking
Chapter 35. Deep Part-Based Image Feature for Clothing Retrieval
Chapter 36. A Metric Learning Method Based on Damped Momentum with Threshold
Chapter 37. FCN and Unit-Linking PCNN Based Image Saliency Detection
Chapter 38. Disparity Estimation Using Convolutional Neural Networks with Multi-scale Correlation
Chapter 39. A Spatio-Temporal Convolutional Neural Network for Skeletal Action Recognition
Chapter 40. Autonomous Perceptual Projection Correction Technique of Deep Heterogeneous Surface
Chapter 41. Multi-camera Tracking Exploiting Person Re-ID Technique
Chapter 42. Towards Simulating Foggy and Hazy Images and Evaluating Their Authenticity
Chapter 43. Active Contours Driven by Saliency Detection for Image Segmentation
Chapter 44. Robust Visual Tracking by Hierarchical Convolutional Features and Historical Context
Chapter 45. Learning Spatiotemporal and Geometric Features with ISA for Video-Based Facial Expression Recognition
Chapter 46. Robust Edge-Based Model with Sparsity Representation for Object Segmentation
Chapter 47. Salient Object Detection Based on Amplitude Spectrum Optimization
Chapter 48. Optimized Image Up-Scaling from Learning Selective Similarity
Chapter 49. The Camouflage Color Target Detection with Deep Networks
Chapter 50. Action Prediction Using Unsupervised Semantic Reasoning
Chapter 51. Robust Facial Alignment for Face Recognition
Chapter 52. Automatic Leaf Recognition Based on Deep Convolutional Networks
Chapter 53. Evaluation of Deep Models for Real-Time Small Object Detection
Chapter 54. SPMVP: Spatial PatchMatch Stereo with Virtual Pixel Aggregation
Chapter 55. Uncalibrated Trinocular-Microscope Visual Servo Control Strategy
Chapter 56. Automatic Multi-view Action Recognition with Robust Features
Chapter 57. Learning Discriminative Convolutional Features for Skeletal Action Recognition
Chapter 58. Algorithm of Multi-camera Object Handoff Based on Object Mapping
Chapter 59. Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model
Chapter 60. Graph Embedding Learning for Cross-Modal Information Retrieval
Chapter 61. Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images
Chapter 62. Locality-Constrained Iterative Matrix Regression for Robust Face Hallucination
Chapter 63. Structure-Preserved Face Cartoonization
Chapter 64. Deep Metric Learning with Symmetric Triplet Constraint for Person Re-identification
Chapter 65. EPI-Patch Based Convolutional Neural Network for Depth Estimation on 4D Light Field
Chapter 66. Deep Metric Learning with False Positive Probability
Chapter 67. Deep Learning Based Face Recognition with Sparse Representation Classification
Chapter 68. Class-Wised Image Enhancement for Moving Object Detection at Maritime Boat Ramps
Chapter 69. A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting

Part 2 Neurodynamics
Chapter 70. Synchronization of Memristor-Based Time-Delayed Neural Networks via Pinning Control
Chapter 71. Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test
Chapter 72. Exponential Stability of Matrix-Valued BAM Neural Networks with Time-Varying Delays
Chapter 73. Asymptotic Stability of Delayed Octonion-Valued Neural Networks with Leakage Delay
Chapter 74. Training the Hopfield Neural Network for Classification Using a STDP-Like Rule
Chapter 75. Symbolic Solutions to Division by Zero Problem via Gradient Neurodynamics
Chapter 76. An Image Enhancement Algorithm Based on Fractional-Order Relaxation Oscillator
Chapter 77. Bridging the Gap Between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model
Chapter 78. Stability of Periodic Orbits and Fault Tolerance in Dynamic Binary Neural Networks
Chapter 79. Basic Analysis of Cellular Dynamic Binary Neural Networks
Chapter 80. Robust Control of Uncertain Nonlinear Systems Based on Adaptive Dynamic Programming
Chapter 81. A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks
Chapter 82. An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping
Chapter 83. A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network
Chapter 84. Global Stability of Complex-Valued Neural Networks with Time-Delays and Impulsive Effects
Chapter 85. Pinning Synchronization in Heterogeneous Networks of Harmonic Oscillators
Chapter 86. Prediction of Tropical Storms Using Self-organizing Incremental Neural Networks and Error Evaluation

Part 3 Sensory Perception and Decision Making
Chapter 87. Formulation of Border-Ownership Assignment in Area V2 as an Optimization Problem
Chapter 88. A Joint Learning Framework of Visual Sensory Representation, Eye Movements and Depth Representation for Developmental Robotic Agents
Chapter 89. Neural Representation of Object’s Shape at the Electroreceptor Afferents on Electrolocation
Chapter 90. Performance Comparison of Motion Encoders: Hassenstein–Reichardt and Two-Detector Models
Chapter 91. Wireless Network Gateway Placement by Evolutionary Graph Clustering
Chapter 92. Next Generation Hybrid Intelligent Medical Diagnosis Systems
Chapter 93. 2-Tuple Prioritized Weighted Harmonic Operator and Its Use in Group Decision Making
Chapter 94. Reasoning Under Conflicts in Smart Environment

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