Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
We introduce a predictive concept recognition methodology for description logics based on a new closed terminology assumption. During knowledge engineering, our system adopts the ...
Abstract—With the proliferation of wireless multimedia applications, multicast/broadcast has been recognized as an efficient technique to transmit a large volume of data to mult...
Juan Liu, Wei Chen, Zhigang Cao, Ying Jun Zhang, S...
We introduce the patch transform, where an image is broken into non-overlapping patches, and modifications or constraints are applied in the "patch domain". A modified i...
Taeg Sang Cho, Moshe Butman, Shai Avidan, William ...
We study how to automatically extract tourist trips from large volumes of geo-tagged photographs. Working with more than 8 million of these photographs that are publicly available...