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20022015
most citedRotation-invariant convolutional neural networks for galaxy morphology prediction

787 citations

Showing 2012Show all

41 papers · 1 filter

hep-ex2012193 cited

Multiplicities of charged pions and kaons from semi-inclusive deep-inelastic scattering by the proton and the deuteron

HERMES Collaboration, A. Airapetian, N. Akopov +135

Multiplicities in semi-inclusive deep-inelastic scattering are presented for each charge state of π^\pm and K^\pm mesons. The data were collected by the HERMES experiment at the HE…

hep-ex201283 cited

Measurement of the Atmospheric flux in IceCube

IceCube Collaboration, M. G. Aartsen, R. Abbasi +274

We report the first measurement of the atmospheric electron neutrino flux in the energy range between approximately 80 GeV and 6 TeV, using data recorded during the first year of o…

cond-mat.supr-con20121 cited

Perturbations on the superconducting state of metallic nanoparticles: influence of geometry and impurities

Mario Van Raemdonck, Stijn De Baerdemacker, Dimitri Van Neck

The pair condensation energy of a finite-size superconducting particle is studied as a function of two control parameters. The first control parameter is the shape of the particle,…

astro-ph.HE201239 cited

Search for Galactic PeV Gamma Rays with the IceCube Neutrino Observatory

IceCube collaboration, M. G. Aartsen, R. Abbasi +274

Gamma-ray induced air showers are notable for their lack of muons, compared to hadronic showers. Hence, air shower arrays with large underground muon detectors can select a sample…

math.CA2012

Distributional Boundary Values of Harmonic Potentials in Euclidean Half-space as Fundamental Solutions of Convolution Operators in Clifford Analysis

Fred Brackx, Hendrik De Bie, Hennie De Schepper

In the framework of Clifford analysis, a chain of harmonic and monogenic potentials in the upper half of Euclidean space $\mR^{m+1}$ was recently constructed, including a higher di…

cs.AI2012

An efficient algorithm for estimating state sequences in imprecise hidden Markov models

Jasper De Bock, Gert de Cooman

We present an efficient exact algorithm for estimating state sequences from outputs (or observations) in imprecise hidden Markov models (iHMM), where both the uncertainty linking o…