Preserving Spatio-Temporal Information in Machine Learning: A Shift-Invariant k-Means Perspective.
Yigit OktarMehmet TürkanPublished in: J. Signal Process. Syst. (2022)
Keyphrases
- temporal information
- shift invariant
- machine learning
- k means
- wavelet domain
- rotation invariant
- wavelet coefficients
- discrete wavelet transform
- spatio temporal
- video sequences
- spatial information
- edge preserving
- sparse coding
- information extraction
- visual information
- temporal domain
- clustering algorithm
- feature selection
- space time
- contextual information
- text classification
- blurred images
- spatial domain
- supervised learning
- wavelet transform
- subband
- text mining
- natural language processing
- multiscale
- three dimensional