Neural Information Processing, Tingwen Huang; Zhigang Zeng; Chuandong Li; Chi Sin
Автор: Chi-Sing Leung; Minho Lee; Jonathan H. Chan Название: Neural Information Processing ISBN: 364210682X ISBN-13(EAN): 9783642106828 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1-5, 2009.
Автор: Hirose Название: Neural Information Processing ISBN: 3319466801 ISBN-13(EAN): 9783319466804 Издательство: Springer Рейтинг: Цена: 13696.00 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: Hirose Название: Neural Information Processing ISBN: 3319466712 ISBN-13(EAN): 9783319466712 Издательство: Springer Рейтинг: Цена: 13696.00 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: Hirose Название: Neural Information Processing ISBN: 3319466860 ISBN-13(EAN): 9783319466866 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 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: Werner v. Seelen; Konstantin Behrend Название: Principles of Neural Information Processing ISBN: 3319201123 ISBN-13(EAN): 9783319201122 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In this fundamental book the authors devise a framework that describes the working of the brain as a whole. It presents a comprehensive introduction to the principles of Neural Information Processing as well as recent and authoritative research. The books guiding principles are the main purpose of neural activity, namely, to organize behavior to ensure survival, as well as the understanding of the evolutionary genesis of the brain. Among the developed principles and strategies belong self-organization of neural systems, flexibility, the active interpretation of the world by means of construction and prediction as well as their embedding into the world, all of which form the framework of the presented description. Since, in brains, their partial self-organization, the lifelong adaptation and their use of various methods of processing incoming information are all interconnected, the authors have chosen not only neurobiology and evolution theory as a basis for the elaboration of such a framework but also systems and signal theory.
The most important message of the book and authors is: brains are evolved as a whole and a description of parts although necessary lets one miss the wood for the trees.
Автор: Bianchini Monica Название: Handbook on Neural Information Processing ISBN: 3642366562 ISBN-13(EAN): 9783642366567 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Chi-Sing Leung; Minho Lee; Jonathan H. Chan Название: Neural Information Processing ISBN: 3642106765 ISBN-13(EAN): 9783642106767 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1-5, 2009.
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: 3319700952 ISBN-13(EAN): 9783319700953 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 constituts 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. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew Название: Neural Information Processing ISBN: 3319126369 ISBN-13(EAN): 9783319126364 Издательство: Springer Рейтинг: Цена: 11180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
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