Attribute-based query offers an intuitive way of image retrieval, in which users can describe the intended search targets with understandable attributes. In this paper, we develop...
Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan ...
–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...
The probabilistic threshold query (PTQ) is one of the most common queries in uncertain databases, where all results satisfying the query with probabilities that meet the threshold...
In this work we deal with one-round key-agreement protocols, called Merkle's Puzzles, in the random oracle model, where the players Alice and Bob are allowed to query a rando...
Many existing access controls use node filtering or querying rewriting techniques. These techniques require rather time-consuming processes such as parsing, labeling, pruning and/...