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A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss Function.
Hiroya Sato
Takuya Ikeda
Koichi Nishiwaki
Published in:
CoRR (2023)
Keyphrases
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loss function
efficiently computable
pairwise
support vector
rotation invariant
risk minimization
empirical risk
learning to rank
convex loss functions
upper bound
probabilistic model
bayes rule
bayesian networks
sufficient conditions
reproducing kernel hilbert space
multi class
learning algorithm