Stochastic boosting for large-scale image classification.

Junbiao Pang Qingming Huang Baocai Yin Lei Qin Dan Wang

Published in: ICIP (2013)

Keyphrases

machine learning
feature selection
monte carlo
ensemble methods
boosting algorithms
learning automata
stochastic optimization
real time
computer vision
cost sensitive
ensemble learning
markov processes
stochastic programming