Neural Information Processing

Annotationusing 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-TargetRegression.- 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.