946 resultados para Åberg, Teijo


Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: Q.B.V.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Variantti A.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: Q.B.V.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: D.D.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: D.D.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Variantti B.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: Deo Duce!

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: B.c.D.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: D.D.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Invokaatio: A.R.C.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Ontology matching is an important task when data from multiple data sources is integrated. Problems of ontology matching have been studied widely in the researchliterature and many different solutions and approaches have been proposed alsoin commercial software tools. In this survey, well-known approaches of ontologymatching, and its subtype schema matching, are reviewed and compared. The aimof this report is to summarize the knowledge about the state-of-the-art solutionsfrom the research literature, discuss how the methods work on different application domains, and analyze pros and cons of different open source and academic tools inthe commercial world.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Many industrial applications need object recognition and tracking capabilities. The algorithms developed for those purposes are computationally expensive. Yet ,real time performance, high accuracy and small power consumption are essential measures of the system. When all these requirements are combined, hardware acceleration of these algorithms becomes a feasible solution. The purpose of this study is to analyze the current state of these hardware acceleration solutions, which algorithms have been implemented in hardware and what modifications have been done in order to adapt these algorithms to hardware.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

This study reviews the research on interaction techniques and methods that could be applied in mobile augmented reality scenarios. The review is focused on themost recent advances and considers especially the use of head-mounted displays. Inthe review process, we have followed a systematic approach, which makes the reviewtransparent, repeatable, and less prone to human errors than if it was conducted in amore traditional manner. The main research subjects covered in the review are headorientation and gaze-tracking, gestures and body part-tracking, and multimodality– as far as the subjects are related to human-computer interaction. Besides these,also a number of other areas of interest will be discussed.