Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques.
Alberto BarontiniMaria-Giovanna MasciottaPaulo Amado-MendesLuís F. RamosPaulo B. LourençoPublished in: Sensors (2021)
Keyphrases
- training samples
- damage detection
- feature space
- learning algorithm
- test sample
- supervised learning
- training set
- training data
- number of training samples
- high dimensional
- face images
- damage assessment
- sample set
- representative samples
- image sequences
- hyperplane
- pairwise
- feature vectors
- frequency domain
- multiscale
- high quality
- image processing
- data sets