Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III 2014 ed. [Minkštas viršelis]

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.-
ConstrainedOptimization-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
AdaptiveResonance Associative Memory with Fuzzy Motion Planning for Place
Navigation.- Special Session: Security in Signal Processing and Machine
Learning.- Predicting Mobile Subscribers 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.