Exploring high-dimensional energy landscapes.
Normand MousseauGerard T. BarkemaPublished in: Comput. Sci. Eng. (1999)
Keyphrases
- high dimensional
- low dimensional
- energy consumption
- dimensionality reduction
- data points
- high dimensionality
- high dimensional data
- high dimensional problems
- sparse data
- energy efficient
- variable selection
- energy minimization
- similarity search
- nearest neighbor
- minimum energy
- multi dimensional
- parameter space
- manifold learning
- feature space
- low energy
- energy efficiency
- image sequences
- energy saving
- machine learning
- data sets