In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
A hybrid scheduling algorithm is proposed, which integrates features of the Fixed Priority (FP) and Earliest Deadline First (EDF) scheduling policies. It is shown that this hybrid...
We show how to convert regular keyboard-entry CAPTCHAs into clickable CAPTCHAs. The goal of this conversion is to simplify and speed-up the entry of the CAPTCHA solution, to minim...
Richard Chow, Philippe Golle, Markus Jakobsson, Lu...
Abstract— We present a novel algorithm for the onedimension offline bin packing problem with discrete item sizes based on the notion of matching the item-size histogram with the...