Beyond one-hot encoding: Lower dimensional target embedding.
Pau RodríguezMiguel Ángel BautistaJordi GonzàlezSergio EscaleraPublished in: Image Vis. Comput. (2018)
Keyphrases
- lower dimensional
- latent space
- dimensionality reduction
- low dimensional
- higher dimensional
- principal component analysis
- high dimensional
- original data
- high dimensional data
- random projections
- feature space
- vector space
- data sets
- machine learning
- data mining
- database
- unsupervised learning
- high dimensionality
- neural network