Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning.
Yang FanJianhua DaiQilai ZhangPublished in: IJCNN (2019)
Keyphrases
- latent space
- sparse representation
- sparse coding
- generative model
- dimensionality reduction
- manifold learning
- latent variables
- low dimensional
- feature space
- gaussian process
- negative matrix factorization
- high dimensional data
- high dimensional
- probabilistic latent semantic analysis
- parameter space
- matrix factorization
- feature selection
- probabilistic model
- image classification
- image representation
- distance metric
- prior knowledge
- unsupervised learning
- vector space
- linear combination
- natural images
- principal component analysis
- face recognition
- euclidean distance
- topic models
- data sets
- knn
- feature vectors
- data mining
- neural network