Explicit Global Minimization of the Symmetrized Euclidean Distance by a Characterization of Real Matrices with Symmetric Square.
Patrizio NeffAndreas FischleLev BorisovPublished in: SIAM J. Appl. Algebra Geom. (2019)
Keyphrases
- euclidean distance
- global minimization
- distance measure
- similarity measure
- distance metric
- feature vectors
- distance function
- mahalanobis distance
- dimensionality reduction
- data points
- energy minimization
- global minimum
- manhattan distance
- feature extraction
- image denoising
- kullback leibler divergence
- minimization problems