In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This m...
Many emergent distributed sensing applications need to keep track of mobile entities across multiple sensor networks connected via an IP network. To simplify the realization of suc...
In this paper, we present a novel indexing data structure called RDHT (Range capable Distributed Hash Table) derived from skip lists and specifically designed for storing and retr...
— There are abundant scenarios for applications of similarity search in databases where the similarity of objects is defined for a subset of attributes, i.e., in a subspace, onl...
Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-...
Abstract. We propose inductive distance-based methods for instance classification and retrieval in ontologies. Casting retrieval as a classification problem with the goal of assess...