Neural Information Processing, Sabri Arik; Tingwen Huang; Weng Kin Lai; Qingshan

Автор: Hirose
Название: Neural Information Processing
ISBN: 3319466801 ISBN-13(EAN): 9783319466804
Издательство: Springer
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Цена: 13696.00 р.
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Описание: The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. big data analysis; neural data analysis; data mining and cybersecurity workshop; data mining;

Автор: Hirose
Название: Neural Information Processing
ISBN: 3319466712 ISBN-13(EAN): 9783319466712
Издательство: Springer
Рейтинг:
Цена: 13696.00 р.
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Описание: The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. big data analysis; neural data analysis; data mining and cybersecurity workshop; data mining;

Автор: Hirose
Название: Neural Information Processing
ISBN: 3319466860 ISBN-13(EAN): 9783319466866
Издательство: Springer
Рейтинг:
Цена: 12578.00 р.
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Описание: The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. big data analysis; neural data analysis; data mining and cybersecurity workshop; data mining;

Автор: Hirose
Название: Neural Information Processing
ISBN: 3319466747 ISBN-13(EAN): 9783319466743
Издательство: Springer
Рейтинг:
Цена: 12578.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. big data analysis; neural data analysis; data mining and cybersecurity workshop; data mining;

Автор: Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew
Название: Neural Information Processing
ISBN: 3319126369 ISBN-13(EAN): 9783319126364
Издательство: Springer
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Цена: 11180.00 р.
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Описание: Cognitive Science.-Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity.- Human Implicit Intent Discrimination Using EEG and Eye Movement.- Towards Establishing Relationships Between Human Arousal level and Motion Mass.- Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites.- Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning.- An Agent Response System based on Mirror Neuron and Theory of Mind.- Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation.- A Computational Model of the Relation Between Regulation of Negative Emotions and Mood.- Neural Networks and Learning Systems - Theory and Design.- Low-cost Representation for Restricted Boltzmann Machines.- Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron.- Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework Including Unlabeled Samples Distribution into Decision.- Computational Model of Neocortical Learning Process: Prototype.- Active Learning with Maximum Density and Minimum Redundancy.- One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory.- An Entropy-guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning.- A Nodes Reduction Procedure for RBFNDDA through Histogram.- Toroidal approximate identity neural networks are universal approximators.- Self-Organizing Neural Grove.- Transfer learning using the Online FMM model.- A supervised methodology to measure the variables contribution to a clustering.- Coupling between spatial consistency of neural ring and local eld potential coherence: A computational study.- Fading channel prediction based on self-optimizing neural networks.- Invariant Multiparameter Sensitivity of Oscillator Network.- Spatial-Temporal Saliency Feature Extraction For Robust Mean-Shift Tracker.- BOOSTRON: Boosting Based Perceptron Learning.- G-Stream: Growing Neural Gas over Data Stream.- Combining Active Learning and Semi-Supervised Learning Using Local and Global Consistency.- Complex-Valued Neural Networks -- Recent Progress and Future Directions.- A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification.- A Model of V4 Neurons Based on Sparse Coding.- A fast and memory-efficient hierarchical graph clustering algorithm.- Hopfield-Type Associative Memory with Sparse Modular Networks.- Concept Drift Detection based on Anomaly Analysis.- Online learning for faulty RBF networks with the concurrent fault.- The Performance of the Stochastic DNN-kWTA network.- Modularity maximization adjusted by neural networks.- A dynamic pruning strategy for incremental learning on a budget.- Neural Computing with Concurrent Synchrony.- A Line-partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram.- A Unified Framework for Privacy Preserving Data Clustering.- Spiking Neural Network with Lateral Inhibition for Reward-based Associative Learning.- Fuzzy Signature Neural Networks for Classification: Optimising the Structure.- Self-Organizing Map-based Probabilistic Associative Memory.- Neural Networks and Learning Systems - Applications.- A Causal Model for Disease Pathway Discovery.- Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning.- Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks.- A Neural Networks Committee for the Contextual Bandit Problem.- Multi-step Predictions of Landslide Displacements based on Echo State Network.- Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks.- ANFIS-Based Model for Improved Paraphrase Rating Prediction.- Contextual Bandit for Active Learning: Active Thompson Sampling.- Choosing the Best Auto-encoder-based Bagging Classifier: An Empirical Study.- Classification of fMRI Data in the NeuCube Evolving Spiking Neural Ne

Автор: Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew
Название: Neural Information Processing
ISBN: 3319126393 ISBN-13(EAN): 9783319126395
Издательство: Springer
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Цена: 11180.00 р.
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Описание: Kernel and Statistical Methods.- A New Ensemble Clustering Method based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling.- Extraction of Dimension Reduced Features from Empirical Kernel Vector.- Method of Evolving Non-stationary Multiple Kernel Learning.- A kernel method to extract common features based on mutual information.- Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers.- Non-Monotonic Feature Selection for Regression.- Non-negative Matrix Factorization with Schatten p-norms Reguralization.- A New Energy Model for the Hidden Markov Random Fields.- Online nonlinear Granger causality detection by quantized kernel least mean square.- A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion.- Unsupervised Dimensionality Reduction for Gaussian Mixture Model.- Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions.- Texture analysis based automated decision support System for classification of Skin Cancer using SA-SVM.- In-attention State Monitoring for a Driver Based On Head Pose and Eye Blinking Detection Using One Class Support Vector Machine.- An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices.- Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression.- Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.- Evolutionary Computation and Hybrid Intelligent Systems.- A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation.- Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation.- Accuracy Improvement of Localization and Mapping of ICP-SLAM Via Competitive Associative Nets and Leave-One-Out Cross-Validation.- Saliency Level Set Evolution.- Application of Cuckoo Search for Design Optimization of Heat Exchangers.- A Hybrid Method to Improve the Reduction of Ballistocardiogram Artifact from EEG Data.- VLGAAC: Variable Length Genetic Algorithm based Alternative Clustering.- Social Book Search with Pseudo-Relevance Feedback.- A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers.- Collaboration of the Radial Basis ART and PSO in Multi-Solution Problems of the Henon Map.- Reconstructing Gene Regulatory Network with Enhanced Particle Swarm Optimization.- Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm.- An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm.- Fission-and-Recombination Particle Swarm Optimizers for Search of Multiple Solutions.- Fast Generalized Fuzzy C-means Using Particle Swarm Optimization for Image Segmentation.- Evolutionary Learning and Stability of Mixed-Rule Cellular Automata.- Pattern Recognition Techniques.- Radical-Enhanced Chinese Character Embedding.- Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors.- Short Text Hashing Improved by Integrating Topic Features and Tags.- Synthetic test data generation for hierarchical graph clustering methods.- Optimal Landmark Selection for Nystrom Approximation.- Privacy Preserving Clustering: A k-Means Type Extension.- Stream Quantiles via Maximal Entropy Histograms.- A Unified Framework for Thermal Face Recognition.- Geometric Feature-based Facial Emotion Recognition using Two-Stage Fuzzy Reasoning Model.- Human Activity Recognition by Matching Curve Shapes.- Sentiment Analysis of Chinese Microblogs Based on Layered Features.- Feature group weighting and topological biclustering.- A Label Completion Approach to Crowd Approximation.- Multi-label Linear Discriminant Analysis with Locality Consistency.- Hashing for Financial Credit Risk Analysis.- MAP Inference with MRF by Graduated Non-Convexity and Concavity Procedure.- Two-Phase App

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319700952 ISBN-13(EAN): 9783319700953
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319700863 ISBN-13(EAN): 9783319700861
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
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Описание: 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.

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319700898 ISBN-13(EAN): 9783319700892
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319700928 ISBN-13(EAN): 9783319700922
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
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Описание: 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.

Автор: Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew
Название: Neural Information Processing
ISBN: 3319126423 ISBN-13(EAN): 9783319126425
Издательство: Springer
Рейтинг:
Цена: 12298.00 р.
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Описание: 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 fo

Автор: Sabri Arik; Tingwen Huang; Weng Kin Lai; Qingshan
Название: Neural Information Processing
ISBN: 3319265318 ISBN-13(EAN): 9783319265315
Издательство: Springer
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Цена: 12298.00 р.
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Описание: The four volume set LNCS 9489, LNCS 9490, LNCS 9491, andLNCS 9492 constitutes the proceedings of the 22nd International Conference onNeural Information Processing, ICONIP 2015, held in Istanbul, Turkey, inNovember 2015. The 231 full papers presented were carefully reviewed andselected from 375 submissions.