Neural Information Processing

Signal and Image Processing.- Real Time Crowd Counting with Human Detection and Human Tracking.- A new method for removing random-valued impulse noise.- CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log.- Image Retrieval using a Novel Color Similarity Measurement and Neural Networks.- Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform.- Sonification for EEG Frequency Spectrum and EEG-based Emotion Features.- Forecasting Crowd State in Video by an improved Lattice Boltzmann Model Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems.- Calibrating Independent Component Analysis with Laplacian Reference for Real-time EEG Artifact Removal.- Unsupervised Segmentation Using Cluster Ensembles.- Similar-video retrieval via learned exemplars and time-warped alignment.- Automatic Image Annotation Exploiting Textual and Visual Saliency.- Classification of fish ectoparasite genus Gyrodactylus SEM images using ASM and complex network model. Linked Tucker2 decomposition for flexible multi-block data analysis.- Celebrity Face Image Retrieval Using Multiple Features.- A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising Perception of Symmetry in Natural Images --- A Cortical Representation of Shape.- Image Denoising with Rectified Linear Units.- Shape Preserving RGB-D Depth Map Restoration.- Online Detection of Concept Drift in Visual Tracking.- Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials.- Interactive Color Correction of Display by Dichromatic User.- A Neural Ensemble Approach for Segmentation and Classification of Road Images.- Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes.- Classification of Stroke Patients' Motor Imagery EEG with Autoencoders in BCI-FES Rehabilitation Training System.- Real-time Patch-based Tracking With Occlusion Handling.- Blood Cell Image Retrieval System using Color, Shape and Bag of Words.- Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer.- Online Object Tracking based on Depth Image with Sparse Coding.- Real-time compressive tracking with a particle filter framework.- Image Super-Resolution with Fast Approximate Convolutional Sparse Coding.- Sparse Coding for Improved Signal-to-Noise Ratio in MRI.- Scalable Video Coding Using Hybrid DCT/Wavelets Architectures.- Image Enhancement using Geometric Mean Filter and Gamma Correction for WCE Images.- Autoencoder Based Collaborative Filtering.- Extended Laplacian Sparse Coding for Image Categorization.- Special Session: The 2014 Cybersecurity Data Mining Competition and Workshop (CDMC2014).- Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method.- Quantum Inspired Evolutionary Algorithm by representing Candidate Solution as Normal Distribution.- Text Categorization with Diversity Random Forests.- Unknown Attack Detection by Multistage One-Class SVM Focusing on Communication Interval.- "Analysis and Configuration of Boundary.- Difference Calculations".- Morphological Associative Memory Employing a Split Store Method.- A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.- A Classification Method of Darknet Traffic for Advanced Security Monitoring and Response.- Detecting Malicious Spam Mails: An Online Machine Learning Approach.- Special Session: Intelligent Systems for Supporting Decision-Making Processes - Theories and Applications.- Freshness-Aware Thompson Sampling.- Condition monitoring of broken rotor bars using a hybrid FMM-GA model.- Employing Genetic Algorithm to Construct Epigenetic Tree-based Features for Enhancer Region Prediction.- Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making.- A Fuzzy ART-based Approach for Estimation of High Performance Concrete Mix Proportion.- A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology.- An Application of Fuzzy Adaptive Resonance Theory to Engineering Education.- Augmented Query Strategies for Active Learning in Stream Data Mining.- Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine.- Strategic decision support in waste management systems by state reduction in FCM models An ELM Based Multi Agent Systems Using Certified Belief in Strength.- Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine For Pattern Classification.- Special Session: Neuroengineering and Neuralcomputing.- Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination.- Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception.- Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects Neuron's Spikes Noise Level Classification using Hidden Markov Models.- Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements.- Motor Imagery Data Classification for BCI Application using Wavelet Packet Feature Extraction.- Adaptive-Multi-Reference Least Means Squares Filter.- sEMG-Based Single-Joint Active Training with iLeg---a Horizontal Exoskeleton for Lower Limb Rehabilitation.-Special Session: Cognitive Robotics.- Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps.- Understanding Dynamic Environments with Fuzzy Perception.- Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention.- On the role of working memory in trading-off skills and situation awareness in Sudoku.- GA-Tetris Bot: Evolving a Better Tetris Gameplay using Adaptive Evaluation Scheme.- An Effectiveness of Model-Based Development with User Model in Consideration of Human.- Dynamic Programming for Guided Gene Transfer in Bacterial Memetic Algorithm.- Topological Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation.- Special Session: Security in Signal Processing and Machine Learning.- Predicting Mobile Subscriber's Behaviour from SMS-Based Contextual Information Extraction.- Discovering Plain-Text-Described Services Based on Ontology Learning.- A Fuzzy VSM-based Approach for Semantic Service Retrieval.- Maintaining Trust in Cloud by SLA Monitoring.