Neural Information Processing

30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VII

AvBiao Luo,Long Cheng

Häftad, Engelska, 2023

Del i serien Communications in Computer and Information Science

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Beskrivning

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023.

Produktinformation

Utgivningsdatum:2023-11-25
Mått:155 x 235 x 33 mm
Vikt:908 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:585
Förlag:Springer Verlag, Singapore
ISBN:9789819981250

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

Theory and Algorithms.- A 3D UWB hybrid localization method based on BSR and L-AOA.- Unsupervised Feature Selection Using Both Similar and Dissimilar Structures.- STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network.- Embedding Entity and Relation for Knowledge Graph by Probability Directed Graph.- Solving the inverse problem of laser with complex-valued field by physics-informed neural networks.- Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery.- Accelerate Support Vector Clustering via Spectral Data Compression.- A Novel Iterative Fusion Multi-Task Learning Framework for Solving Dense Prediction.- Anti-Interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding.- CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection.- Prediction and analysis of acoustic displacement field using the method of neural network.- Graph Multi-Dimensional Feature Network.- CBDN: A Chinese short-text classification model based on Chinese BERT and fused deep neural networks.- Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeof.- Human-guided Transfer Learning for Autonomous Robot.- Leveraging Two-scale Features to Enhance Fine-grained Object Retrieval.- Predefined-time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control.- Reward-Dependent and Locally Modulated Hebbian Rule for Pattern Classification.- Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network.- Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech.- A health evaluation algorithm for edge nodes based on LSTM.- A Comprehensive Review of Arabic Question Answering Datasets.- Solving Localized Wave Solutions of the Nonlinear PDEs using Physics-Constraint Deep Learning Method.- Graph Reinforcement Learning For Securing Critical Loads By E-mobility.- Human-Object Interaction Detection with Channel Aware Attention.- AAKD-Net:Attention-based Adversarial Knowledge Distillation Network for Image Classification.- A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems.- Towards better evaluations of class activation mapping and interpretability of CNNs.- Contrastive Learning-Based Music Recommendation Model.- A Memory Optimization Method for Distributed Training.- Unsupervised Monocular Depth Estimation with Semantic Reconstruction using Dual-Discriminator Generative Adversarial Networks.- Generating Spatiotemporal Trajectories with GANs and Conditional GANs.- Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning.- Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering.- Graph Pointer Network and Reinforcement Learning for Thinnest Path Problem.- Multi-Neuron Information Fusion for Direct Training Spiking Neural Networks.- Event-based Object Recognition Using Feature Fusion and Spiking Neural Networks.- Circular FC: Fast Fourier Transform Meets Fully Connected Layer For Convolutional Neural Network.- Accurate Latency Prediction of Deep Learning Model Inference under Dynamic Runtime Resource.- Robust LS-QSVM Implementation via Efficient Matrix Factorization and Eigenvalue Estimation.- An Adaptive Auxiliary Training Method of Autoencoders and its Application in Anomaly Detection.- Matrix Contrastive Learning for Short Text Clustering.- Sharpness-aware Minimization for Out-of-Distribution Generalization.- Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL).