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  • 1
    Online Resource
    Online Resource
    Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I (2021)
    Cham : Springer International Publishing | Cham : Springer
    Details
    UID:
    b3kat_BV047690304
    Format: 1 Online-Ressource (XXV, 695 p. 28 illus)
    Edition: 1st ed. 2021
    ISBN: 9783030921859
    Series Statement: Theoretical Computer Science and General Issues 13108
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92184-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92186-6
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-030-92185-9
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part IV (2021)
    Cham : Springer International Publishing | Cham : Springer
    Details
    UID:
    b3kat_BV047690307
    Format: 1 Online-Ressource (XXV, 695 p. 261 illus., 233 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9783030922733
    Series Statement: Theoretical Computer Science and General Issues 13111
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92272-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92274-0
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-030-92273-3
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    Online Resource
    Online Resource
    Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part III (2021)
    Cham : Springer International Publishing | Cham : Springer
    Details
    UID:
    b3kat_BV047690306
    Format: 1 Online-Ressource (XXVI, 705 p. 248 illus., 222 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9783030922382
    Series Statement: Theoretical Computer Science and General Issues 13110
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92237-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92239-9
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-030-92238-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part II (2021)
    Cham : Springer International Publishing | Cham : Springer
    Details
    UID:
    b3kat_BV047690309
    Format: 1 Online-Ressource (XXV, 683 p. 242 illus., 208 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9783030922702
    Series Statement: Theoretical Computer Science and General Issues 13109
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92269-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92271-9
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-030-92270-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
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    Online Resource
    Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II (2019)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    UID:
    gbv_168664485X
    Format: 1 Online-Ressource(XXII, 709 p. 364 illus., 216 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 9783030367114
    Series Statement: Theoretical Computer Science and General Issues 11954
    Content: Image Processing by Neural Techniques -- STNet: A Style Transformation Network for Deep Image Steganography -- Multi-person 3D Pose Estimation from Monocular Image Sequences -- Super-Resolution Network for General Static Degradation Model -- Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection -- Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain -- Image Denoising Networks with Residual Blocks and RReLUs -- Shape Description and Retrieval in a Fused Scale Space -- Only Image Cosine Embedding For Few-shot Learning -- Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes -- A Robustness and Low Bit-rate Image Compression Network for Underwater Acoustic Communication -- Gated Contiguous Memory U-Net for Single Image Dehazing -- Combined Correlation Filters With Siamese Region Proposal Network For Visual Tracking -- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments -- A Novel Image-Based Malware Classification Model Using Deep Learning -- Visual Saliency Detection via Convolutional Gated Recurrent Units -- RBPNET:An asymptotic residual back-projection network for super resolution of very low resolution face image -- Accurate Single Image Super-Resolution using Deep Aggregation Network -- Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information -- Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning -- Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds -- Learning from Incomplete Data -- Improving Object Detection with Consistent Negative Sample Mining -- A model selection criterion for LASSO estimate with scaling -- Geometric mean metric learning for label distribution learning -- Explicit Center Selection and Training for Fault Tolerant RBF Networks -- Learning with Incomplete Labels for Multi-label Image Annotation using CNN and Restricted Boltzmann Machines -- Learning-Based Confidence Estimation for Multi-Modal Classifier Fusion -- Model Compression and Optimisation -- Siamese Network for Classification with Optimization of AUC -- Attention-based Audio-visual Fusion for Video Summarization -- RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression -- Adaptive Neuro-Surrogate-Based Optimization Method for Wave Energy Converters Placement Optimization -- Lightweighted Modal Regression for stand alone embedded systems -- Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions -- Neural Learning Models -- Sparse Least Squares Low Rank Kernel Machines -- Proposal of online regularization for dynamical structure optimization in complex-valued neural networks -- Set Aggregation Network as a Trainable Pooling Layer -- Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence -- Conditionally Decorrelated Multi-Target Regression -- Local Near-optimal Control for Interconnected Systems with Time-varying Delays -- Neural Network Applications -- Transferring Tree Ensembles to Neural Networks -- Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-Plastic Synapse Units - Letter Recognition of Five Alphabets -- Barrier Function Based Consensus of High-order Nonlinear Multi-agent Systems With State Constraints -- Transformer-DW: A Transformer Network with Dynamic and Weighted Head -- Motion-based Occlusion-aware Pixel Graph Network for Video Object Segmentation -- Modeling Severe Traffic Accidents with Spatial and Temporal Features -- Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits -- IMDB-Attire: A Novel Dataset for Attire Detection and Localization -- From Raw Signals to Human Skills Level in Physical Human-Robot Collaboration for Advanced-Manufacturing Applications -- Intelligent Image Retrieval Based on Multi-swarm of Particle Swarm Optimization and Relevance Feedback -- Achieving Human–Robot Collaboration with Dynamic Goal Inference by Gradient Descent -- Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation -- Social Network Computing -- Secure Outsourcing of Lattice Basis Reduction -- DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks -- SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning -- Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention -- Aligning users across Social Networks by Joint User And Label Consistence Representation -- Opinion Knowledge Injection Network for Aspect Extraction -- A Deep Matrix Factorization Method with Missing Not at Random Data for Social Recommendation -- Pluralistic Ignorance: a trade off between group-conformity and cognitive dissonance.
    Content: The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing.
    Additional Edition: ISBN 9783030367107
    Additional Edition: ISBN 9783030367121
    Additional Edition: Erscheint auch als Druck-Ausgabe ICONIP (26. : 2019 : Sydney) Neural information processing ; Part 2 Cham : Springer, 2019 ISBN 9783030367107
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030367121
    Language: English
    Keywords: Bildverarbeitung ; Neuronales Netz
    DOI: 10.1007/978-3-030-36711-4
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  • 6
    Online Resource
    Online Resource
    Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I (2019)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    UID:
    gbv_1686644868
    Format: 1 Online-Ressource(XXII, 781 p. 318 illus., 234 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 9783030367084
    Series Statement: Theoretical Computer Science and General Issues 11953
    Content: Adversarial Networks and Learning -- FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network -- Adversarial Learning for Cross-modal Retrieval with Wasserstein Distance -- Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization -- Multi-View Image Generation by Cycle CVAE-GAN Networks -- B-DCGAN: Evaluation of Binarized DCGAN for FPGA -- A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning -- Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling -- Learning an Adversarial Network for Speech Enhancement under Extremely Low Signal-to-noise Ratio Condition -- HaGAN: hierarchical attentive adversarial learning for task-oriented dialogue system -- Learning to Generate Ambiguous Sequences -- Convolutional Neural Networks -- Deep Learning for Combo Object Detection -- DasNet: Dynamic Adaptive Structure for Accelerating Multi-Task Convolutional Neural Network -- Confusion-Aware Convolutional Neural Network for Image Classification -- Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection -- Self-Adaptive Network Pruning -- Text-Augmented Knowledge Representation Learning Based on Convolutional Network -- A novel online ensemble convolutional neural networks for streaming data -- Cross-Media Image-Text Retrieval Based on Two-Level Network -- Fusion Convolutional Attention Network for Opinion Spam Detection -- Deep CNN Based System for Detection and Evaluation of RoIs in Flooded Areas -- Deep Neural Networks -- Improving Deep Learning by Regularized Scale-free MSE of Representations -- Training behavior of deep neural network in frequency domain -- On The Initialization of Long Short-Term Memory Networks -- A Multi-cascaded Deep Model for Bilingual SMS Classification -- Low Resource Named Entity Recognition using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer -- An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks -- Feature Learning and Representation -- Representation Learning for Heterogeneous Information Networks via Embedding Events -- Unified Framework for Visual Domain Adaptation Using Globality- Locality Preserving Projections -- Zero-shot Learning for Intrusion Detection via Attribute Representation -- Region Selection Model with Saliency Constraint for Fine-grained Recognition -- Siamese Net based Feature Learning for IDS -- Self-Attentive Pyramid Network for Single Image De-raining -- Human Centred Computing -- Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos -- Learning to Navigate in Human Environments via Deep Reinforcement Learning -- An Effective Yawn Behavior Detection Method in Classroom -- Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data -- Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition -- A Generative Face Completion Method Based on Associative Memory -- White-Box Target Attack for EEG-Based BCI Regression Problems -- Human Centred Computing and Medicine -- Real-time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair -- Infra-slow Electroencephalogram Power is Associated with Reaction Time in Simple Discrimination Tasks -- Classifying Speech Data in Parkinson's Disease Based on Class Probability Output Networks -- ConvCaps: Multi-input capsule network for brain tumor classification -- G-ResNet: Improved ResNet for brain tumor classification -- Affinity Graph based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation -- On the Stability of a Pass-thought Security System in Different Brain States -- Brain network decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE) -- Hybrid Models -- Accelerated training algorithms of general fuzzy min-max neural network using GPU for very high dimensional data -- Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification -- Evolving an Optimal Decision Template for Combining Classifiers -- Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for A Flexible Joint Manipulator -- Fuzzy Deep Neural Network for Classification of Overlapped Data -- On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization -- A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms -- Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning -- Evolving Pictures in Image Transition Space -- Improved Multi-objective Evolutionary Subspace Clustering -- Network of Experts: Learning from evolving data streams through network-based ensembles -- Deep Extremely Randomized Trees -- International Workshop on Artificial Intelligence and Cybersecurity 2019 -- An advanced version of MDNet for visual tracking -- Enhanced LSTM with Batch Normalization -- Combating Threat-Alert Fatigue with Online Anomaly Detection using Isolation Forest.
    Content: The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11953, is organized in topical sections on adversarial networks and learning; convolutional neural networks; deep neural networks; feature learning and representation; human centred computing; human centred computing and medicine; hybrid models; and artificial intelligence and cybersecurity.
    Additional Edition: ISBN 9783030367077
    Additional Edition: ISBN 9783030367091
    Additional Edition: Erscheint auch als Druck-Ausgabe ICONIP (26. : 2019 : Sydney) Neural information processing ; Part 1 Cham : Springer, 2019 ISBN 9783030367077
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030367091
    Language: English
    Keywords: Neuronales Netz ; Künstliche Intelligenz ; Konferenzschrift
    DOI: 10.1007/978-3-030-36708-4
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  • 7
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    Online Resource
    Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III (2019)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    UID:
    gbv_1686644841
    Format: 1 Online-Ressource(XXI, 649 p. 302 illus., 144 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 9783030367183
    Series Statement: Theoretical Computer Science and General Issues 11955
    Content: Semantic and Graph Based Approaches -- GL2vec: Graph Embedding Enriched by Line graphs with Edge Features -- Joint Semantic Hashing using Deep Supervised and Unsupervised Methods -- Label-Based Deep Semantic Hashing for Cross-Modal Retrieval -- HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation -- Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach -- SACIC: A Semantics-aware Convolutional Image Captioner using Multi-Level Pervasive Attention -- One Analog Neuron Cannot Recognize Deterministic Context-Free Languages -- Tag-based Semantic Features for Scene Image Classification -- Integrating TM Knowledge into NMT with Double Chain Graph -- Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure -- Visualizing Readable Instance Graphs of Ontology with Memo Graph -- Spiking Neuron and Related Models -- Hippocampus Segmentation in MRI Using Side U-Net Model -- AutoML for DenseNet Compression -- Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit -- Homeostasis-based CNN-to-SNN Conversion of Inception and Residual Architectures -- Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation -- Deep learning of EEG Data in the NeuCube Brain-inspired Spiking Neutral Network Architecture for a Better Understanding of Depression -- Text Computing Using Neural Techniques -- Watch and Ask: Video Question Generation -- Multi-Perspective Denoising Reader for Multi-Paragraph Reading Comprehension -- Models in the Wild: On Corruption Robustness of Neural NLP Systems -- Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization -- Target-Based Attention Model for Aspect-Level Sentiment Analysis -- Keyphrase Generation with Word Attention -- Dynamic Neural Language Models -- A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition -- Option Attentive Capsule Network for Multi-choice Reading Comprehension -- Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning -- Paragraph-Level Hierarchical Neural Machine Translation -- Residual Connection-based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension -- Zero-Shot Transfer Learning Based on Visual and Textual Resemblance -- Morphological Knowledge Guided Mongolian Constituent Parsing -- BERT based Hierarchical Sequence Classification for Context-aware Microblog Sentiment Analysis -- Topic Aware Context Modelling for Conversation Response Generation -- What a Dialogue! A Deep Neural Framework for Contextual Affect Detection -- Improving student forum responsiveness: Detecting Duplicate Questions in Educational Forums -- Time-series and Related Models -- On Probability Calibration of Recurrent Text Recognition Network -- On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining -- Deep Hybrid Spatiotemporal networks for Continuous Pain Intensity Estimation -- Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology -- Deep Point-wise Prediction for Action Temporal Proposal -- Real-time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine -- Deep Spatial-Temporal Field for Human Head Orientation Estimation -- Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People -- Teacher-Student Learning and Post-Processing for Robust BiLSTM Mask-Based Acoustic Beamforming -- Maxout into MDLSTM for offline Arabic handwriting recognition -- Unsupervised Neural Models -- Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization -- Distance estimation for Quantum Prototypes based Clustering -- Accelerating Bag-of-Words with SOM -- A Deep Clustering-Guide Learning for Unsupervised Person Re-identification -- Semi-Supervised Deep Learning Using Unsupervised Discriminant Projection -- Unsupervised pre-training of the brain connectivity dynamic using residual D-net -- Clustering Ensemble Selection with Determinantal Point Processes -- Generative Histogram-based Model using Unsupervised Learning.
    Content: The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.
    Additional Edition: ISBN 9783030367176
    Additional Edition: ISBN 9783030367190
    Additional Edition: Erscheint auch als Druck-Ausgabe ICONIP (26. : 2019 : Sydney) Neural information processing ; Part 3 Cham : Springer, 2019 ISBN 9783030367176
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030367190
    Language: English
    Keywords: Semantik ; Neuronales Netz
    DOI: 10.1007/978-3-030-36718-3
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  • 8
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    Online Resource
    Neural information processing : 16th international conference, ICONIP 2009, Bangkok, Thailand, December 1 - 5, 2009 ; proceedings, part II (2009)
    Berlin [u.a.] : Springer
    Details
    UID:
    gbv_61846977X
    Format: Online-Ressource (XXXI, 888 S.)
    Edition: Online-Ausg. 2009 Springer eBook collection. Computer science Electronic reproduction; Available via World Wide Web
    ISBN: 9783642106842
    Series Statement: Lecture notes in computer science 5864
    Note: Literaturangaben , Electronic reproduction; Available via World Wide Web
    Additional Edition: ISBN 364210682X
    Additional Edition: ISBN 9783642106828
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-642-10684-2
    URL: Volltext
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltsverzeichnis
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  • 9
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    Online Resource
    Neural Information Processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part I (2013)
    Berlin, Heidelberg : Springer
    Details
    UID:
    gbv_1653050446
    Format: Online-Ressource (XXXIV, 646 p. 253 illus, online resource)
    ISBN: 9783642420542
    Series Statement: Lecture Notes in Computer Science 8226
    Content: The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms, and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies; and novel approaches and applications
    Note: Literaturangaben , Cognitive science and artificial intelligenceLearning theory, algorithms and architectures -- Computational neuroscience and brain imaging -- Vision, speech and signal processing -- Control, robotics and hardware technologies -- Novel approaches and applications.
    Additional Edition: ISBN 9783642420535
    Additional Edition: Druckausg. Neural information processing ; 1 Berlin : Springer, 2013 ISBN 9783642420535
    Additional Edition: ISBN 3642420532
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-642-42054-2
    URL: Volltext  (lizenzpflichtig)
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  • 10
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    Online Resource
    Neural Information Processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III (2013)
    Berlin, Heidelberg : Springer
    Details
    UID:
    gbv_1653050438
    Format: Online-Ressource (XVIII, 638 p. 288 illus, online resource)
    ISBN: 9783642420511
    Series Statement: Lecture Notes in Computer Science 8228
    Content: The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms, and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies; and novel approaches and applications
    Note: Literaturangaben , Cognitive science and artificial intelligenceLearning theory, algorithms and architectures -- Computational neuroscience and brain imaging -- Vision, speech and signal processing -- Control, robotics and hardware technologies -- Novel approaches and applications.
    Additional Edition: ISBN 9783642420504
    Additional Edition: Druckausg. Neural information processing ; 3 Berlin : Springer, 2013 ISBN 9783642420504
    Additional Edition: ISBN 3642420508
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-642-42051-1
    URL: Volltext  (lizenzpflichtig)
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