Neural Information Processing (Record no. 178680)
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| 000 -LEADER | |
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| fixed length control field | 08497nam a22006615i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-92270-2 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125515.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211206s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030922702 |
| -- | 978-3-030-92270-2 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-92270-2 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q337.5 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK7882.P3 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQP |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQP |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.4 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Neural Information Processing |
| Medium | [electronic resource] : |
| Remainder of title | 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part II / |
| Statement of responsibility, etc | edited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXV, 683 p. 242 illus., 208 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Theoretical Computer Science and General Issues, |
| International Standard Serial Number | 2512-2029 ; |
| Volume number/sequential designation | 13109 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Theory and Algorithms -- LSMVC: Low-rank Semi-supervised Multi-view Clustering for Special Equipment Safety Warning -- Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition -- Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction -- Transformer with Prior Language Knowledge for Image Captioning -- Continual Learning with Laplace Operator based Node-Importance Dynamic Architecture Neural Network -- Improving generalization of reinforcement learning for multi-agent combating games -- Gradient Boosting Forest: A Two-Stage Ensemble Method Enabling Federated Learning of GBDTs -- Random Neural Graph Generation with Structure Evolution -- MatchMaker: Aspect-Based Sentiment Classification via Mutual Information -- PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling -- Label Preserved Heterogeneous Network Embedding -- Spatio-Temporal Dynamic Multi-Graph Attention Network for Ride-hailing Demand Prediction -- An Implicit Learning Approach for Solving the Nurse Scheduling Problem -- Improving Goal-Oriented Visual Dialogue by Asking Fewer Questions -- Balance Between Performance and Robustness of Recurrent Neural Networks brought by Brain-inspired Constraints on Initial Structure -- Single-Image Smoker Detection by Human-Object Interaction with Post-Refinement -- A Lightweight Multi-scale Feature Fusion Network For Real-time Semantic Segmentation -- Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering -- Handling the Deviation from Isometry between Domains and Languages in Word Embeddings: Applications to Biomedical Text Translation -- Inference in Neural Networks Using Conditional Mean-Field Methods -- Associative Graphs for Fine-Grained Text Sentiment Analysis -- k-Winners-Take-All Ensemble Neural Network -- Performance Improvement of FORCE Learning for Chaotic Echo State Networks -- Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation -- Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing -- Kernelized Transfer Feature Learning on Manifolds -- Data-Free Knowledge Distillation with Positive-Unlabeled Learning -- Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation -- Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions -- Neural Network Pruning via Genetic Wavelet Channel Search -- Binary Label-aware Transfer Learning for Cross-domain Slot Filling -- Condition-Invariant Physical Adversarial Attacks via Pixel-wise Adversarial Learning -- Multiple Partitions Alignment with Adaptive Similarity Learning -- Recommending best course of treatment based on similarities of prognostic markers -- Generative Adversarial Negative Imitation Learning from Noisy Demonstrations -- Detecting Helmets on Motorcyclists by Deep Neural Networks with aDual-Detection Scheme -- Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting -- Disentangled Feature Network for Fine-Grained Recognition -- Large-Scale Topological Radar Localization Using Learned Descriptors -- Rethinking binary hyperparameters for deep transfer learning -- Human Centred Computing -- Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction -- Stress Recognition in Thermal Videos using Bi-Directional Long-Term Recurrent Convolutional Neural Networks -- StressNet: A Deep Neural Network based on Dynamic Dropout Layers for Stress Recognition -- Analyzing Vietnamese Legal Questions using Deep Neural Networks with Biaffine Classifiers -- BenAV: A Bengali Audio-Visual Corpus for Visual Speech Recognition -- Investigation of Different G2P Schemes for Speech Recognition in Sanskrit -- GRU with Level-Aware Attention for Rumor Early Detection in Social Networks -- Convolutional Feature-interacted FactorizationMachines for Sparse Contextual Prediction -- A Lightweight Multidimensional Self-Attention Network for Fine-grained Action Recognition -- Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation -- Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition -- Self-Adaptive Graph Neural Networks for Personalized Sequential Recommendation -- Spitial-Temporal Attention Network with Multi-Similarity Loss for Fine-Grained Skeleton-Based Action Recognition -- SRGAT: Social Relational Graph Attention Network for Human Trajectory Prediction -- FSE: A powerful feature augmentation technique for classification task -- AI and Cybersecurity -- FHTC: Few-shot Hierarchical Text Classification in Financial Domain -- JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Pattern recognition systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Education |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer networks . |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Automated Pattern Recognition. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computers and Education. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Engineering and Networks. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mantoro, Teddy. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lee, Minho. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ayu, Media Anugerah. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wong, Kok Wai. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hidayanto, Achmad Nizar. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030922696 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030922719 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Theoretical Computer Science and General Issues, |
| -- | 2512-2029 ; |
| Volume number/sequential designation | 13109 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-92270-2">https://doi.org/10.1007/978-3-030-92270-2</a> |
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| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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