15 citations · 18 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 3 cited
Extrapolating Expected Accuracies for Large Multi-Class Problems
Charles Zheng, Rakesh Achanta, Yuval Benjamini
The difficulty of multi-class classification generally increases with the number of classes. Using data from a subset of the classes, can we predict how well a classifier will scal…
stat.ML2016
How many faces can be recognized? Performance extrapolation for multi-class classification
Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini
The difficulty of multi-class classification generally increases with the number of classes. Using data from a subset of the classes, can we predict how well a classifier will scal…
stat.ML2015★ 15 cited
Telugu OCR Framework using Deep Learning
Rakesh Achanta, Trevor Hastie
In this paper, we address the task of Optical Character Recognition(OCR) for the Telugu script. We present an end-to-end framework that segments the text image, classifies the char…