Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint.

Mireille El Gheche Giovanni Chierchia Pascal Frossard

Published in: CoRR (2018)

Keyphrases

stochastic gradient descent
least squares
loss function
matrix factorization
step size
random forests
regularization parameter
support vector machine
nonnegative matrix factorization
multiple kernel learning
pairwise
image processing
optical flow
data points
semi supervised