Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VII / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li.

Format:

Book

Contributor:

Luo, Biao, editor.

Series:

Communications in Computer and Information Science, 1865-0937 ; 1961

Language:

English

Subjects (All):

Pattern recognition systems.

Computer science.

Data mining.

Data structures (Computer science).

Information theory.

Automated Pattern Recognition.

Theory and Algorithms for Application Domains.

Data Mining and Knowledge Discovery.

Data Structures and Information Theory.

Local Subjects:

Automated Pattern Recognition.

Theory and Algorithms for Application Domains.

Data Mining and Knowledge Discovery.

Data Structures and Information Theory.

Physical Description:

1 online resource (603 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Contents:

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).

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Luo, Biao Neural Information Processing

ISBN:

981-9981-26-3