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Extending the SACOC algorithm through the Nyström method for dense manifold data analysis.
Héctor D. Menéndez
Fernando E. B. Otero
David Camacho
Published in:
Int. J. Bio Inspired Comput. (2017)
Keyphrases
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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