A new method for cross-matching fingerprints from different sensors.
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5 results for “cross-matching”
problem Inefficiency in cross-matching fingerprints from different sensors.
method Co-occurrence of ridge orientations and Gabor-HoG descriptor fusion with CCA.
result Significant enhancement over state-of-the-art methods.
RNA structures show that a significant portion of bases do not form hydrogen bonds.
problem Understanding the unpaired bases in RNA secondary structures.
method Comparing random words in free groups to RNA sequences, analyzing word lengths.
result The expected fraction of unpaired bases converges to a constant .
We present a large catalog of optically selected galaxy clusters from the application of a new Gaussian Mixture Brightest Cluster Galaxy (GMBCG) algorithm to SDSS Data Release 7 data. The algorithm detects clusters by identifying the red sequence plus Brightest Cluster Galaxy (BCG) feature, which is unique for galaxy c…
Machine learning separates Gaia DR2 stars into accreted and in-situ categories.
problem Identifying accreted stars from Gaia DR2 data using limited 5D kinematics.
method Transfer learning on mock Gaia catalogs, then cross-matched with real data.
result Identifies 767,000 accreted stars within Gaia DR2.
ASKAP observes a region of the Galactic plane, identifying 3963 radio sources.
problem Characterizing radio sources in the Galactic plane using ASKAP observations.
method 912 MHz observations with 15 ASKAP antennas, source characterization using CAESAR.
result Differential source counts in agreement with previous surveys, spectral index estimation for sources.