Predicting Countermovement Jump Heights by Time Domain, Frequency Domain, and Machine Learning Algorithms.
Zhaoxian ZhouSarbagya ShakyaZhanxin ShaPublished in: ISCID (2) (2017)
Keyphrases
- frequency domain
- machine learning algorithms
- benchmark data sets
- spatial domain
- fourier transform
- machine learning
- learning algorithm
- decision trees
- machine learning methods
- power spectrum
- cross correlation
- learning problems
- spectral domain
- feature extraction
- denoising
- machine learning approaches
- frequency analysis
- power spectra
- fast fourier transform
- machine learning models
- frequency response
- standard machine learning algorithms
- learning models
- subband
- random forests
- phase correlation
- fourier analysis
- affine invariance
- data mining
- error diffusion
- discrete fourier transform
- infrared
- statistical machine learning
- mutual information
- spectrum analysis
- frequency domain analysis
- facial asymmetry
- real world