2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2009★ 2 cited
Bounding the Probability of Error for High Precision Recognition
Andrew Kae, Gary B. Huang, Erik Learned-Miller
We consider models for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low rates of recall. If some variables…
cs.IT2005
A Probabilistic Upper Bound on Differential Entropy
Joseph DeStefano, Erik Learned-Miller
A novel, non-trivial, probabilistic upper bound on the entropy of an unknown one-dimensional distribution, given the support of the distribution and a sample from that distribution…