Space-Time Adaptive Processing Using Random Matrix Theory Under Limited Training Samples.
Di SongShengyao ChenFeng XiZhong LiuPublished in: CoRR (2022)
Keyphrases
- space time
- training samples
- random matrix theory
- spatio temporal
- video sequences
- hyperplane
- feature space
- training set
- test sample
- dynamic scenes
- supervised learning
- learning algorithm
- training data
- high dimensional
- number of training samples
- multiple view geometry
- face images
- data sets
- high quality
- classification accuracy
- similarity measure
- sample set
- image processing
- scan statistic