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Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics
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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.
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Keywords
- 3D reconstruction
- ADMM
- adversarial equilibrium
- adversarial example
- adversarial learning
- anchor-free
- anomaly detection
- anti-noise performance
- Aspect Level Sentiment Classification
- aspect-based sentiment analysis
- aspect-level sentiment classification
- attention mechanism
- background matting
- black-box attack
- blind image deblurring
- C-MAPSS
- collaborative-representation-based classification
- commonsense knowledge graph
- Computer science
- Computer vision
- Computing & information technology
- confidence score
- Contrasitve Learning
- contrastive learning
- correlation filters
- cost-weighted
- cross-domain classification
- cross-domain sentiment classification
- cross-working
- cyber–physical
- data analysis
- DCNN-BiLSTM
- decoupling
- deep learning
- deep neural network
- deep reinforcement learning
- Dempster–Shafer evidence theory
- dependency trees
- dependency types
- discriminative feature learning
- domain adaptation
- Economics, finance, business & management
- elastic optical networks
- end-to-end
- ensemble attack
- extension theory
- external knowledge
- face recognition
- feature extraction
- feature reuse
- feature transformation
- fine-tuning
- fusion verification
- fuzzy k-means
- gait adjustment
- garbage quantity identification
- GAT
- gated learning
- GCN
- geometric mean metric
- graph attention mechanism
- graph convolutional networks
- graph neural networks
- Hate Speech Detection
- head detection
- hypergraph matching
- image aesthetic assessment
- image classification
- image gradient orientations
- image prior
- image super-resolution
- industrial control systems
- Industry & industrial studies
- Information technology industries
- information-theoretic metric learning
- intelligent design
- iterative majorization algorithm
- joint semantic learning
- KGE
- kNN
- knowledge distillation
- knowledge graph embedding
- label propagation
- large-margin technique
- license plate recognition
- logarithm norm
- low–high level joint task
- Machine learning
- matrix nuclear norm
- Media, information & communication industries
- metric learning
- mixed noise removal
- MMD
- models and algorithms
- motion deblurring
- multi-order attention
- multi-output
- multi-source domain adaptation
- multi-task learning
- multi-view stereo
- multidimensional scaling
- n/a
- NMS
- object detection
- pairwise constraint propagation
- payloads
- pedestrian detection
- people counting
- plug-and-play
- power load forecasting
- rainy image recovery
- robustness
- routing, modulation and spectrum assignment
- scheme design
- second-order fitting
- second-order gradient
- Semantic
- semi-supervised learning
- similarity metric
- small sample
- soft-NMS
- sparse channel
- sparsity
- Stability
- state reconstruction
- state-dependent switching
- structure from motion
- switched system
- Syntactic
- temporal knowledge graph
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- time delay
- traffic detection
- transferability quantification
- uncertain temporal knowledge graph
- vehicle color recognition
- vehicle re-identification
- Video surveillance
- visual tracking
- word embedding
- XSS attack
- YOLOv4
- YOLOX
Links
DOI: 10.3390/books978-3-0365-7263-5Editions