Symmetrical singular value decomposition representation for pattern recognition.
Yuhui ChenShuiguang TongFeiyun CongJian XuPublished in: Neurocomputing (2016)
Keyphrases
- singular value decomposition
- pattern recognition
- dimensionality reduction
- least squares
- singular values
- dimension reduction
- reconstruction error
- latent semantic indexing
- low rank
- principal component analysis
- data points
- neural network
- co occurrence
- signal processing
- feature extraction
- computer vision
- machine learning
- low rank approximation
- high dimensional data
- structure from motion
- collaborative filtering
- high dimensional
- latent semantic analysis
- data sets