Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part II / edited by Tom Gedeon, Kok Wai Wong, Minho Lee.

Format:

Book

Contributor:

Gedeon, Tom., Editor.

Wong, Kok Wai, Editor.

Lee, Minho, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 11954

Theoretical Computer Science and General Issues, 2512-2029 ; 11954

Language:

English

Subjects (All):

Pattern recognition systems.

Artificial intelligence.

Computer vision.

Application software.

Computers, Special purpose.

Automated Pattern Recognition.

Artificial Intelligence.

Computer Vision.

Computer and Information Systems Applications.

Special Purpose and Application-Based Systems.

Local Subjects:

Automated Pattern Recognition.

Artificial Intelligence.

Computer Vision.

Computer and Information Systems Applications.

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (XXII, 709 pages) : 364 illustrations, 216 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing.

Contents:

Image Processing by Neural Techniques

STNet: A Style Transformation Network for Deep Image Steganography

Multi-person 3D Pose Estimation from Monocular Image Sequences

Super-Resolution Network for General Static Degradation Model

Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection

Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain

Image Denoising Networks with Residual Blocks and RReLUs

Shape Description and Retrieval in a Fused Scale Space

Only Image Cosine Embedding For Few-shot Learning

Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes

A Robustness and Low Bit-rate Image Compression Network for Underwater Acoustic Communication

Gated Contiguous Memory U-Net for Single Image Dehazing

Combined Correlation Filters With Siamese Region Proposal Network For Visual Tracking

RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments

A Novel Image-Based Malware Classification Model Using Deep Learning

Visual Saliency Detection via Convolutional Gated Recurrent Units

RBPNET:An asymptotic residual back-projection network for super resolution of very low resolution face image

Accurate Single Image Super-Resolution using Deep Aggregation Network

Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information

Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning

Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds

Learning from Incomplete Data

Improving Object Detection with Consistent Negative Sample Mining

A model selection criterion for LASSO estimate with scaling

Geometric mean metric learning for label distribution learning

Explicit Center Selection and Training for Fault Tolerant RBF Networks

Learning with Incomplete Labels for Multi-label Image Annotation using CNN and Restricted Boltzmann Machines

Learning-Based Confidence Estimation for Multi-Modal Classifier Fusion

Model Compression and Optimisation

Siamese Network for Classification with Optimization of AUC

Attention-based Audio-visual Fusion for Video Summarization

RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression

Adaptive Neuro-Surrogate-Based Optimization Method for Wave Energy Converters Placement Optimization

Lightweighted Modal Regression for stand alone embedded systems

Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions

Neural Learning Models

Sparse Least Squares Low Rank Kernel Machines

Proposal of online regularization for dynamical structure optimization in complex-valued neural networks

Set Aggregation Network as a Trainable Pooling Layer

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence

Conditionally Decorrelated Multi-Target Regression

Local Near-optimal Control for Interconnected Systems with Time-varying Delays

Neural Network Applications

Transferring Tree Ensembles to Neural Networks

Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-Plastic Synapse Units - Letter Recognition of Five Alphabets

Barrier Function Based Consensus of High-order Nonlinear Multi-agent Systems With State Constraints

Transformer-DW: A Transformer Network with Dynamic and Weighted Head

Motion-based Occlusion-aware Pixel Graph Network for Video Object Segmentation

Modeling Severe Traffic Accidents with Spatial and Temporal Features

Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits

IMDB-Attire: A Novel Dataset for Attire Detection and Localization

From Raw Signals to Human Skills Level in Physical Human-Robot Collaboration for Advanced-Manufacturing Applications

Intelligent Image Retrieval Based on Multi-swarm of Particle Swarm Optimization and Relevance Feedback

Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent

Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation

Social Network Computing

Secure Outsourcing of Lattice Basis Reduction

DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks

SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning

Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention

Aligning users across Social Networks by Joint User And Label Consistence Representation

Opinion Knowledge Injection Network for Aspect Extraction

A Deep Matrix Factorization Method with Missing Not at Random Data for Social Recommendation

Pluralistic Ignorance: a trade off between group-conformity and cognitive dissonance.

Other Format:

Printed edition:

ISBN:

978-3-030-36711-4

9783030367114

Access Restriction:

Restricted for use by site license.