In big data, there are datasets with di erent representations, distributions, and scales in di erent domains. How can we unlock the power of knowledge from multiple disparate, but potentially connected, datasets? Addressing this challenge is of paramount importance in big data research. Integrating heterogeneous datasets is essentially what distinguishes big data from traditional data manipulat...

Species distribution models (SDMs) are increasingly used in ecology, biogeography, and wildlife management to learn about the species–habitat relationships abundance across space time. Distance sampling (DS) capture-recapture (CR) two widely collected data types abundance; still, they seldomly SDMs due lack of spatial coverage. However, fusion sources can increase coverage, which reduce paramet...

We compare and combine likelihood functions of the cos-mological parameters Ω m , h and σ 8 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 ΛCDM cosmology with a scale-invariant adiabatic initial power spectrum. First we consider three data sets that directly pro...

Attitude quaternion [1] is the attitude parameterization of choice for spacecraft attitude estimation for several reasons: 1) it is free of singularities, 2) the attitude matrix is quadratic in the quaternion components, and 3) the kinematics equations is bilinear and an analytic solution exists for the propagation. However, the components of the attitude quaternion are not independent of each ...

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...