CHIRP: a new classifier based on composite hypercubes on iterated random projections.
Leland WilkinsonAnushka AnandDang Tuan NhonPublished in: KDD (2011)
Keyphrases
- random projections
- fourier transform
- compressive sensing
- dimensionality reduction
- compressed sensing
- frequency domain
- image reconstruction
- sparse representation
- original data
- dimension reduction
- principal component analysis
- random sampling
- hash functions
- low dimensional
- signal processing
- high quality
- multiscale
- image data
- data points
- data sets
- information retrieval
- machine learning