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most citedHands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

891 citations

Showing 2015Show all

5 papers · 1 filter

cs.DS2015★ 3 cited

A Note on Easy and Efficient Computation of Full Abelian Periods of a Word

Gabriele Fici, Thierry Lecroq, Arnaud Lefebvre +2

Constantinescu and Ilie (Bulletin of the EATCS 89, 167-170, 2006) introduced the idea of an Abelian period with head and tail of a finite word. An Abelian period is called full if…

cs.CV2015★ 118 cited

A Discriminative Representation of Convolutional Features for Indoor Scene Recognition

Salman H. Khan, Munawar Hayat, Mohammed Bennamoun +2

Indoor scene recognition is a multi-faceted and challenging problem due to the diverse intra-class variations and the confusing inter-class similarities. This paper presents a nove…

cond-mat.mes-hall2015★ 17 cited

Anisotropic contribution to the van der Waals and the Casimir-Polder energies for CO and CH molecules near surfaces and thin films

Priyadarshini Thiyam, Prachi Parashar, K. V. Shajesh +7

In order to understand why carbon dioxide (CO) and methane (CH) molecules interact differently with surfaces, we investigate the Casimir-Polder energy of a linearly polariz…

cond-mat.soft2015★ 57 cited

Non-universal Voronoi cell shapes in amorphous ellipsoid packings

Fabian M. Schaller, Sebastian C. Kapfer, James E. Hilton +8

In particulate systems with short-range interactions, such as granular matter or simple fluids, local structure plays a pivotal role in determining the macroscopic physical propert…

cs.DS2015★ 7 cited

Inferring an Indeterminate String from a Prefix Graph

Ali Alatabbi, M. Sohel Rahman, W. F. Smyth

An \itbf{indeterminate string} (or, more simply, just a \itbf{string}) $\s{x} = \s{x}[1..n]$ on an alphabet is a sequence of nonempty subsets of . We say that $\s{x}[i_1]$ a…