From fusion to dynamic fusion

From Data Fusion to Knowledge Fusion

The task of data fusion is to identify the true values of data items (e.g., the true date of birth for Tom Cruise) among multiple observed values drawn from different sources (e.g., Web sites) of varying (and unknown) reliability. A recent survey [20] has provided a detailed comparison of various fusion methods on Deep Web data. In this paper, we study the applicability and limitations of diffe...

Dynamic Data Fusion

Information retrieval researchers have long appreciated the value of combining, or ffilsing, multiple retrieval systems' relevance scores for a set of documents to improve retrieval performance. However, it is only recently that researchers have begun to consider adjusting the score fusion method to the user's topic and initial results. This study explores the value of fusing multiple retrieval...

متدهاى Image Fusion

هر سنسورى مأموریت و کاربرد خاصى دارد و اغلب مطلوب ما این است که بطور همزمان در یک تصویر، قدرت تفکیک طیفى و مکانى را با هم داشته باشد چون حجم اطلاعات در یک تصویر بوسیله قدرت تفکیک مکانى و طیفى سیستم تصویربردارى محدود مى ‏گردد و اکثر سیستم‏هاى تصویربردارى متداول، یکى از این دو ویژگى را عرضه مى‏ دارند، مثل سیستم‏هاى تصویربردارى tm,spotو... البته در کنار این سیستم‏ها، سیستم‏هاى دیگرى نیز وجود دارند...

Preparation of Monoclonal Antibody to Fusion Glycoprotein of Newcastle Disease Virus Isolated from Iran

Sensor Fusion Using Dynamic Consensus

This work is an extension to a companion paper describing consensustracking for networked agents, and shows how those results can be applied to obtain least-squares fused estimates based on spatially distributed measurements. This mechanism is very robust to changes in the underlying network topology and performance, making it an interesting candidate for sensor fusion on autonomous mobile netw...