Sentence examples for using a common dataset from inspiring English sources

An evaluation of different face recognition algorithms using a common dataset has been of general interest.

A result of these different goals is that a direct comparison between our work and the described methods using a common dataset is not feasible.

Recently the MICCAI 2012 Gran Challenge Workshop focused on the multiatlas labeling segmentation approach, presenting the results obtained by numerous research groups using a common dataset of 35 T1 MR images from the publicly available OASIS database [ 13].

Both the tools had used a common dataset for their performance benchmarking.

The audit used a common dataset and a standard proforma across the providers to collect detailed demographic, diagnostic and treatment data for all new primary cases of malignant female breast cancer diagnosed between January 1996 and December 2005.

The different source fields derived from the comprehensive description of the Earth's magnetic field (Sabaka et al. 2013) will then be compared to dedicated models for the main (Rother et al. 2013), magnetospheric (Hamilton 2013), ionospheric (Chulliat et al. 2013), and lithospheric (Thébault et al. 2013) fields using a common global dataset.

Furthermore, in our studies we desire the ability to compare trees from a variety of different methods using a common bootstrapped dataset.

To our knowledge, miRGate is the only available tool that addresses the little overlap among different targets using a common and an updated dataset.

The annotation of datasets using a common set of ontologies, coupled with search interfaces that allow programmatic integration of datasets from different resources, will facilitate the community's ability to search for experiments without integrating the data into a single centralized database.

The first one (Location-Anchored) provides an interface to fusing examples of available datasets (using a common FIPS or ZIP location mapping) to generate a mashed and munged archive accessible via an intuitive graphical user interface, as well as via a machine accessible API.

The methodological aim of the present study was to enable an integrated analysis of multiple genetic interaction datasets using a common scoring framework.