Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning.
Karim T. Abou-MoustafaDale SchuurmansFrank P. FerriePublished in: ACML (2013)
Keyphrases
- manifold learning
- metric space
- learning algorithm
- high dimensional
- multi dimensional
- learning process
- neural network
- pattern recognition
- supervised learning
- dimensionality reduction
- image classification
- similarity search
- similarity searching
- range queries
- closed form
- signal processing
- similarity measure
- feature extraction
- computer vision
- machine learning