2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2019
Image to Video Domain Adaptation Using Web Supervision
Andrew Kae, Yale Song
Training deep neural networks typically requires large amounts of labeled data which may be scarce or expensive to obtain for a particular target domain. As an alternative, we can…
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…