A computer accompaniment system has been extended with several techniques to solve problems associated with reliably recognizing and following a real-time performance. One technique is the use of an additional matcher to consider alternatives when the performance could be interpreted in two ways. Another is to delay corrective action when data from the matcher is suspect. Methods for handling g...

Matching crowdsourcing There may be several motivations for crowdsourcing ontology matching, i.e., relying on a crowd of workers for establishing alignments [2]. It may be for matching itself or for establishing a reference alignment against which matchers are evaluated. It may also be possible to use crowdsourcing as complement to a matcher, either to filter the finally provided alignment or t...

We introduce the notion of a perfect process tree as a model for the full propagation of in formation in metacomputation. Starting with constant propagation we construct step-by-step the driving mechanism used in supercompila tion which ensures the perfect propagation of information. The concept of a simple supercompiler based on perfect driving coupled with a simple folding strategy is explain...

As the critical dimension in optical lithography continues to shrink and integrated circuit masks become more complex, it is becoming more important to determine where the layout is affected the most by non-ideal process conditions. If the most problematic shapes can be identified and represented in a simple way, then these test patterns can be used to locate areas in any layout that are the mo...

In this paper we give a brief explanation of how Anchor Concept and Sub-Ontology based Ontology Matching (SOBOM) gets the alignment results at OAEI2009. SOBOM deal with the ontology from two different views: an ontology with is-a hierarchical structure ' O and an ontology with other relationships ' ' O . Firstly, from the ' O view, SOBOM starts with a set of anchor concepts provided by linguist...

This report presents a solution to the Simultaneous Localization and Mapping (SLAM) problem for a quadrotor in an office environment. We have implemented a robust, efficient Correlative Scan-Matcher[2] that is able to extract rigid body constraints between both successive and non-successive poses. These pose constraints are used to generate a map via an Exactly Sparse Delayed-State Filter[1]. W...

Hertuda is a very simple element based matcher. It shows that tokenization and a string measure can also yield in good results. It is an improved version of the first version submitted to the OAEI 2011.5. 1 Presentation of the system 1.1 State, purpose, general statement Hertuda is a first idea of an element based matcher with a string comparison. It generates only homogeneous matchings, that a...