Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
In this paper we describe a web-based tool that supports the human in revising ontology alignments. Our tool uses logical reasoning as a basis for detecting conflicts in mappings ...
Christian Meilicke, Heiner Stuckenschmidt, Ondrej ...
In multi-hop wireless networks, random network coding represents the general design principle of transmitting random linear combinations of blocks in the same “batch” to downs...
Query suggestion is an effective approach to improve the usability of image search. Most existing search engines are able to automatically suggest a list of textual query terms b...
Zheng-Jun Zha, Linjun Yang, Tao Mei, Meng Wang, Ze...
Web image search is inspired by text search techniques; it mainly relies on indexing textual data that surround the image file. But retrieval results are often noisy and image pro...