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Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning.
Austin Xu
Andrew D. McRae
Jingyan Wang
Mark A. Davenport
Ashwin Pananjady
Published in:
CoRR (2023)
Keyphrases
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metric learning
low rank
semi supervised
kernel matrix
matrix factorization
pairwise
distance metric
dimensionality reduction
convex optimization
learning tasks
missing data
high dimensional data
singular value decomposition
query processing
semi supervised learning
linear combination
high order
multi task
kernel learning
labeled data
unsupervised learning
active learning
feature selection
semidefinite programming
distance function
feature space
pairwise constraints
image processing
machine learning algorithms
high dimensional
image segmentation
machine learning
data mining
data sets