Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
Part-of-speech (POS) tag distributions are known to exhibit sparsity -- a word is likely to take a single predominant tag in a corpus. Recent research has demonstrated that incorp...
Abstract— Recent advances in graph-based search techniques derived from Kleinberg’s work [1] have been impressive. This paper further improves the graph-based search algorithm ...
We present a technique designed aiming to improve the compression of the Edgebreaker CLERS string for large and regular meshes, where regularity is understood as the compactness o...