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Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)
Qi Qian
Rong Jin
Jinfeng Yi
Lijun Zhang
Shenghuo Zhu
Published in:
CoRR (2013)
Keyphrases
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stochastic gradient descent
loss function
online algorithms
least squares
matrix factorization
step size
monte carlo
weight vector
distance metric
random forests
multiple kernel learning
metric learning
markov chain
semi supervised
learning algorithm
regularization parameter
support vector machine
high dimensional