On semidefinite least squares and minimal unsatisfiability.

Miguel F. Anjos Manuel V. C. Vieira

Published in: Discret. Appl. Math. (2017)

Keyphrases

semidefinite
least squares
semidefinite programming
sufficient conditions
higher dimensional
interior point methods
convex relaxation
singular value decomposition
optical flow
linear programming
machine learning
training set
kernel matrix
convex sets