Extending the SACOC algorithm through the Nyström method for dense manifold data analysis.
Héctor D. MenéndezFernando E. B. OteroDavid CamachoPublished in: Int. J. Bio Inspired Comput. (2017)
Keyphrases
- high accuracy
- cost function
- dynamic programming
- preprocessing
- theoretical analysis
- optimization algorithm
- significant improvement
- improved algorithm
- experimental evaluation
- computational cost
- detection algorithm
- objective function
- clustering method
- computational complexity
- segmentation algorithm
- k means
- data analysis
- tree structure
- detection method
- recognition algorithm
- support vector machine svm
- energy function
- computationally efficient
- matching algorithm
- optimization method
- em algorithm
- input data
- parameter space
- segmentation method
- dimension reduction
- expectation maximization
- simulated annealing
- similarity measure
- manifold learning
- image set
- distance transform
- data mining
- stereo correspondence
- spectral clustering
- distance metric
- classification algorithm
- least squares
- probabilistic model
- high dimensional
- pairwise
- learning algorithm