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 topics con...

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Bibliographic Details
Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	head detection YoloV4 NMS soft-NMS people counting vehicle re-identification license plate recognition video surveillance feature extraction pedestrian detection machine learning end-to-end anchor-free feature reuse correlation filters second-order fitting visual tracking DCNN-BiLSTM domain adaptation MMD fine-tuning C-MAPSS cross-working small sample blind image deblurring image prior sparse channel sparsity multi-output kNN metric learning cost-weighted geometric mean metric motion deblurring image super-resolution multi-order attention gated learning decoupling face recognition second-order gradient image gradient orientations collaborative-representation-based classification image aesthetic assessment semi-supervised learning label propagation deep learning computer vision garbage quantity identification YOLOX Soft-NMS stability switched system state-dependent switching time delay multi-source domain adaptation Dempster–Shafer evidence theory cross-domain classification 3D reconstruction multi-view stereo structure from motion background matting adversarial example feature transformation black-box attack ensemble attack deep neural network intelligent design data analysis models and algorithms extension theory scheme design adversarial learning adversarial equilibrium transferability quantification power load forecasting routing, modulation and spectrum assignment elastic optical networks deep reinforcement learning knowledge distillation aspect-based sentiment analysis graph neural networks dependency trees dependency types graph attention mechanism syntactic semantic vehicle color recognition low–high level joint task object detection joint semantic learning rainy image recovery XSS attack traffic detection payloads fusion verification hypergraph matching similarity metric information-theoretic metric learning mixed noise removal matrix nuclear norm logarithm norm ADMM plug-and-play aspect-level sentiment classification external knowledge KGE GCN discriminative feature learning multidimensional scaling fuzzy k-means pairwise constraint propagation iterative majorization algorithm Aspect Level Sentiment Classification Contrasitve Learning Graph Convolutional Networks graph convolutional networks commonsense knowledge graph anomaly detection cyber–physical industrial control systems image classification large-margin technique robustness anti-noise performance cross-domain sentiment classification word embedding GAT hate speech detection contrastive learning multi-task learning attention mechanism state reconstruction gait adjustment uncertain temporal knowledge graph temporal knowledge graph knowledge graph embedding confidence score n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science
Online Access:	ONIX_20230714_9783036572628_62
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Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

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