Results 1 to 10 of about 69 (69)
IEEE Journal of Selected Topics in Signal Processing, 2015 We present structured data fusion (SDF) as a framework for the rapid prototyping of knowledge discovery in one or more possibly incomplete data sets. In SDF, each data set—stored as a dense, sparse, or incomplete tensor—is factorized with a matrix or tensor decomposition.
Laurent Sorber +2 more
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Le Journal de Physique IV, 1991 The atomic data for fusion needs are described principally from the point of view of diagnostic spectroscopy. Tables are presented of areas of interest and associated atomic data usage. These and the discussion summarise the experience and practice at the JET Joint Undertaking.
Summers, H. +3 more
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From data fusion to knowledge fusion [PDF]
Proceedings of the VLDB Endowment, 2014 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.
Wilko Horn +6 more
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Data Fusion by Matrix Factorization [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Short preprint, 13 pages, 3 Figures, 3 Tables.
Zitnik, Marinka, Zupan, Blaz
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Structure-revealing data fusion [PDF]
BMC Bioinformatics, 2014 Analysis of data from multiple sources has the potential to enhance knowledge discovery by capturing underlying structures, which are, otherwise, difficult to extract. Fusing data from multiple sources has already proved useful in many applications in social network analysis, signal processing and bioinformatics.
Mathias Nilsson +7 more
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Mathematical Problems in Engineering, 2013 Multimedia data is widely used in the world such as image, video, text, and audio. For obtaining better sensing performance, research on multimedia data fusion (MDF) is active and extensive around the world. In medical systems, a body part could be imagedwith different sensors such as computed tomography and magnetic resonance imaging.
Shangbo Zhou, Henry Leung, Fenghui Yao
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Symposium - International Astronomical Union, 2005 We compare and combine likelihood functions of the cosmological parameters Ωm, h and σ8 from the CMB, type Ia supernovae and from probes of large scale structure. We include the recent results from the CMB experiments BOOMERANG and MAXIMA-1. Our analysis assumes a flat ACDM cosmology with a scale-invariant adiabatic initial power spectrum.
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Data handling in data fusion: Methodologies and applications
TrAC Trends in Analytical Chemistry, 2021 The use of data fusion methodologies has increased at the same rhythm as the capability of modern analytical laboratories of measuring sample from multiple sources. Almost all data fusion strategies can be grouped into three levels, they fuse the data differently with the sole aim of obtaining a better response (qualitative or quantitative) than that ...
Rocío Ríos-Reina +6 more
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Data fusion and data grafting [PDF]
Computational Statistics & Data Analysis, 2002 Data fusion is concerned with the problem of merging data bases coming from different sources into a single data base when variables are absent or missing in some files. After a survey of the main techniques, we present some new approaches, in particular one based on homogeneity analysis and future directions.
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Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -, 1996 Information retrieval researchers have long appreciated the value of combining, or fusing, 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.
Elizabeth D. Liddv, Ted Diamond
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