Neural Information Processing
Editat de Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayantoen Limba Engleză Paperback – 6 dec 2021
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (6) | 642.98 lei 6-8 săpt. | |
| Springer – 7 dec 2021 | 642.98 lei 6-8 săpt. | |
| Springer – 6 dec 2021 | 643.58 lei 6-8 săpt. | |
| Springer – 5 dec 2021 | 643.58 lei 6-8 săpt. | |
| Springer – 5 dec 2021 | 644.00 lei 6-8 săpt. | |
| Springer International Publishing – 7 dec 2021 | 753.85 lei 6-8 săpt. | |
| Springer International Publishing – 7 dec 2021 | 754.15 lei 6-8 săpt. |
Preț: 643.58 lei
Preț vechi: 804.47 lei
-20% Nou
Puncte Express: 965
Preț estimativ în valută:
113.87€ • 132.86$ • 99.55£
113.87€ • 132.86$ • 99.55£
Carte tipărită la comandă
Livrare economică 17-31 ianuarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030921842
ISBN-10: 3030921840
Pagini: 724
Ilustrații: XXV, 695 p. 28 illus.
Dimensiuni: 155 x 235 x 39 mm
Greutate: 1.08 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030921840
Pagini: 724
Ilustrații: XXV, 695 p. 28 illus.
Dimensiuni: 155 x 235 x 39 mm
Greutate: 1.08 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
Theory and Algorithms.- Metric Learning Based Vision Transformer for Product Matching.- Stochastic Recurrent Neural Network for Multistep Time Series Forecasting.- Speaker Verification with Disentangled Self-Attention.- Multi Modal Normalization.- A Focally Discriminative Loss for Unsupervised Domain Adaptation.- Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks.- Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans.- Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX.- Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly.- Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition.- Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network.- RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation.- Sentence Rewriting with Few-Shot Learningfor Document-Level Event Coreference Resolution.- A Novel Metric Learning Framework for Semi-supervised Domain Adaptation.- Generating Adversarial Examples by Distributed Upsampling.- CPSAM: Channel and Position Squeeze Attention Module.- A Multi-Channel Graph Attention Network for Chinese NER.- GSNESR: A Global Social Network Embedding Approach for Social Recommendation.- Classification Models for Medical Data with Interpretative Rules.- Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning.- Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing.- MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing.- One-Stage Open Set Object Detection with Prototype Learning.- Aesthetic-aware Recommender System for Online Fashion Products.- DAFD: Domain Adaptation Framework for Fake News Detection.- Document Image Classification Method based on Graph Convolutional Network.- Continual Learning of 3D Point Cloud Generators.- Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process.- Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents.- DAP-BERT: Differentiable Architecture Pruning of BERT.- Trash Detection On Water Channels.- Tri-Transformer Hawkes Process: Three Heads are better than one.- PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images.- Document-level Event Factuality Identification using Negation and Speculation Scope.- Dynamic Network Embedding by Time-Relaxed Temporal Random Walk.- Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision.- Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring.- Domain-Adaptation Person Re-Identification via Style Translation and Clustering.- Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion.- Ego Networks.- Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning.- SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs.- Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy.- Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network.- Clustering Friendly Dictionary Learning.- Understanding Test-Time Augmentation.- SphereCF: Sphere Embedding for Collaborative Filtering.- Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.- Improving Shallow Neural Networks via Local and Global Normalization.- Underwater Acoustic Target Recognition with Fusion Feature.- Evaluating Data Characterization Measures for Clustering Problems in Meta-learning.- ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information.- Image Periodization for Convolutional NeuralNetworks.- BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease.- Triplet Mapping for Continuously Knowledge Distillation.- A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.