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cs.LG2018
Hashing with Binary Matrix Pursuit
Fatih Cakir, Kun He, Stan Sclaroff
We propose theoretical and empirical improvements for two-stage hashing methods. We first provide a theoretical analysis on the quality of the binary codes and show that, under mil…
cs.LG2015
A Bayesian Approach for Online Classifier Ensemble
Qinxun Bai, Henry Lam, Stan Sclaroff
We propose a Bayesian approach for recursively estimating the classifier weights in online learning of a classifier ensemble. In contrast with past methods, such as stochastic grad…