Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew Neural Information Processing 9783319126425

Варианты приобретения

Цена: 12298.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew
Название: Neural Information Processing
ISBN: 9783319126425
Издательство: Springer
Классификация:

Извлечение знаний из данных

Нейронные сети и нечеткие системы

Распознавание образов

Обработка изображений

Разработка и эксплуатационная простота пользовательского интерфейса

ISBN-10: 3319126423
Обложка/Формат: Paperback
Страницы: 706
Вес: 1.00 кг.
Дата издания: 03.11.2014
Серия: Theoretical Computer Science and General Issues
Язык: English
Размер: 234 x 156 x 37
Основная тема: Computer Science
Подзаголовок: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
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

Neural Information Processing, Chu Kiong Loo; Yap Keem Siah; Kok Wai Wong; Andrew