Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams.
Lynn CherifMutahar SafdarGuy LamouchePriti WanjaraPadma PaulGentry WoodMax ZimmermannFlorian HannesenYaoyao Fiona ZhaoPublished in: CoRR (2023)
Keyphrases
- image classification
- image data
- image feature extraction
- input image
- image features
- image analysis
- multiscale
- image representation
- image collections
- text classification
- preprocessing stage
- classification accuracy
- low level
- image retrieval
- single image
- extracting features
- feature vectors
- image segmentation
- machine learning
- support vector
- anomaly detection
- learning experience
- spatial information
- supervised learning
- feature points
- edge detection
- high resolution
- pattern recognition
- decision trees
- learning activities
- knn
- moving objects
- data streams
- image content
- test images
- pixel values
- image pixels
- feature extraction
- confidence scores
- feature selection