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ICONIP
2009
9 years 9 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
IWPC
2010
IEEE
9 years 10 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
PAMI
2006
156views more  PAMI 2006»
9 years 11 months ago
Data Fusion and Multicue Data Matching by Diffusion Maps
Data fusion and multicue data matching are fundamental tasks of high-dimensional data analysis. In this paper, we apply the recently introduced diffusion framework to address these...
Stephane Lafon, Yosi Keller, Ronald R. Coifman
IPM
2006
252views more  IPM 2006»
9 years 11 months ago
Automatic ranking of information retrieval systems using data fusion
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, w...
Rabia Nuray, Fazli Can
CORR
2008
Springer
167views Education» more  CORR 2008»
9 years 11 months ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...
ECIR
1998
Springer
10 years 1 months ago
Independence of Contributing Retrieval Strategies in Data Fusion for Effective Information Retrieval
: In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations oft...
Alan F. Smeaton
CICLING
2010
Springer
10 years 3 months ago
Selecting the N-Top Retrieval Result Lists for an Effective Data Fusion
Although the application of data fusion in information retrieval has yielded good results in the majority of the cases, it has been noticed that its achievement is dependent on the...
Antonio Juárez-González, Manuel Mont...
AIPR
2003
IEEE
10 years 3 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
AIRS
2006
Springer
10 years 3 months ago
Evaluating Score Normalization Methods in Data Fusion
In data fusion, score normalization is a step to make scores, which are obtained from different component systems for all documents, comparable to each other. It is an indispensabl...
Shengli Wu, Fabio Crestani, Yaxin Bi
CIKM
2001
Springer
10 years 4 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
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