Noise Accumulation in High Dimensional Classification and Total Signal Index.
Miriam R. ElmanJessica MinnierXiaohui ChangDongseok ChoiPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- high dimensional
- high dimensionality
- classification accuracy
- noisy data
- random noise
- support vector
- image classification
- white noise
- feature space
- noise reduction
- support vector machine svm
- text classification
- pattern recognition
- low dimensional
- signal detection
- wide band
- frequency domain
- classification method
- decision trees
- noisy environments
- feature selection
- low signal to noise ratio
- received signal
- power spectrum
- classification algorithm
- signal to noise ratio
- parameter space
- machine learning
- non stationary
- signal processing
- support vector machine
- feature extraction
- low frequency
- additive noise
- dimension reduction
- image restoration
- multi dimensional
- high dimensional indexing