Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination.
Luke SmallmanWilliam UnderwoodAndreas ArtemiouPublished in: Comput. Stat. (2020)
Keyphrases
- feature extraction
- preprocessing
- detection algorithm
- principal component analysis
- np hard
- cost function
- k means
- high dimensional
- matching algorithm
- expectation maximization
- face recognition
- computational complexity
- extracted features
- worst case
- linear feature extraction
- neural network
- singular value decomposition
- sparse pca
- orthogonal matching pursuit
- support vector machine svm
- search space
- optimal solution
- objective function
- image processing
- learning algorithm