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Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

The present reprint contains 33 articles accepted and published in the Special Issue entitled "Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022" in the MDPI journal, Mathematics, which covers a wide range of...

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Bibliographic Details
Main Author:	Gou, Jianping
Other Authors:	Ou, Weihua, Zeng, Shaoning, Du, Lan
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Visual Tracking Cross-working Machine Learning Geometric Mean Metric Uncertain Temporal Knowledge Graph Graph Convolutional Networks External Knowledge Multi-output Cross-domain Classification Multidimensional Scaling Mmd Plug-and-play License Plate Recognition Deep Learning Background Matting Multi-source Domain Adaptation Payloads Pedestrian Detection Multi-view Stereo Anti-noise Performance Sparse Channel Large-margin Technique State-dependent Switching Black-box Attack Intelligent Design Hypergraph Matching Information Technology Industries / Bicssc Temporal Knowledge Graph Syntactic Attention Mechanism Logarithm Norm Yolox Semantic Vehicle Color Recognition Admm Pairwise Constraint Propagation Confidence Score Gated Learning Extension Theory Knowledge Distillation Similarity Metric Gait Adjustment Second-order Gradient Stability Iterative Majorization Algorithm Dcnn-bilstm Soft-nms Gcn Image Aesthetic Assessment Dependency Trees Computer Vision Sparsity Vehicle Re-identification Head Detection Semi-supervised Learning Image Classification Rainy Image Recovery Face Recognition Models And Algorithms Second-order Fitting Collaborative-representation-based Classification Industrial Control Systems Anomaly Detection Joint Semantic Learning Xss Attack Ensemble Attack Feature Reuse Video Surveillance Yolov4 3d Reconstruction Contrasitve Learning Label Propagation Fusion Verification Matrix Nuclear Norm Correlation Filters Power Load Forecasting Fuzzy K-means Knn Mixed Noise Removal N/a Data Analysis Switched System Motion Deblurring Graph Neural Networks Graph Attention Mechanism Adversarial Learning Low-high Level Joint Task Kge Deep Neural Network People Counting Adversarial Equilibrium State Reconstruction Adversarial Example End-to-end Cross-domain Sentiment Classification Feature Extraction Aspect-based Sentiment Analysis Blind Image Deblurring Deep Reinforcement Learning Cost-weighted Object Detection Image Gradient Orientations Traffic Detection Multi-order Attention Garbage Quantity Identification C-mapss Cyber-physical Elastic Optical Networks Transferability Quantification Time Delay Computer Science / Bicssc Gat Anchor-free Image Super-resolution Domain Adaptation Routing, Modulation And Spectrum Assignment Hate Speech Detection Knowledge Graph Embedding Commonsense Knowledge Graph Metric Learning Image Prior Contrastive Learning Nms Robustness Dependency Types Aspect-level Sentiment Classification Information-theoretic Metric Learning Decoupling Fine-tuning Word Embedding Feature Transformation Dempster-shafer Evidence Theory Small Sample Discriminative Feature Learning Structure From Motion Aspect Level Sentiment Classification Scheme Design Multi-task Learning
Online Access:	https://directory.doabooks.org/handle/20.500.12854... https://www.mdpi.com/books/pdfview/book/7458
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	The present reprint contains 33 articles accepted and published in the Special Issue entitled "Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022" in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:	1 electronic resource (556 p.)
ISBN:	9783036572628 9783036572635 books978-3-0365-7263-5

Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

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