Results 221 to 230 of about 1,562 (268)

Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty. [PDF]

Front Artif Intell
Wang Y, Singh L.
europepmc   +1 more source

Integration of spatial and single-nucleus transcriptomics to map gene expression in the developing mouse kidney. [PDF]

Development
Chaney CP, Fusco AN, Grilli ED, Warshaw JN, Luo PM, Cleaver O, Marciano DK, Carroll TJ.   +7 more
europepmc   +1 more source

An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device. [PDF]

Sensors (Basel)
Newaz NT, Hanada E.
europepmc   +1 more source

Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning. [PDF]

Sci Rep
Ordinola A, Abramian D, Herberthson M, Eklund A, Özarslan E.   +4 more
europepmc   +1 more source

The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation. [PDF]

Entropy (Basel)
Vrugt JA, Diks CGH.
europepmc   +1 more source

METRIC-PRESERVING REDUCTION OF EARTH MOVER'S DISTANCE

METRIC-PRESERVING REDUCTION OF EARTH MOVER'S DISTANCE
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Earth Mover Distance on superpixels

2010 IEEE International Conference on Image Processing, 2010
Earth Mover Distance (EMD) is a popular distance to compute distances between Probability Density Functions (PDFs). It has been successfully applied in a wide selection of problems of image processing. This success comes from two reasons, a physical one, since it computes a physical cost to transport an element of mass between two images or two ...
Sylvain Boltz, Frank Nielsen, Stefano Soatto   +2 more
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A Parallel Method for Earth Mover’s Distance

Journal of Scientific Computing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wuchen Li, Ernest K. Ryu, Stanley Osher, Wotao Yin, Wilfrid Gangbo   +4 more
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Linearized Multidimensional Earth-Mover's-Distance Gradient Flows

IEEE Transactions on Image Processing, 2013
This paper presents the first framework capable of performing active contour segmentation using Earth Mover's Distance (EMD) to measure dissimilarity between multidimensional feature distributions. EMD is the best known and understood cross-bin histogram distance measure, and as such it allows for meaningful comparisons between distributions, unlike ...
Carlos S, Mendoza, José-Antonio, Pérez-Carrasco, Aurora, Sáez, Begoña, Acha, Carmen, Serrano   +4 more
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The Earth Mover’s Distance

2001
A ground distance between single visual image features can often be found by psychophysical experiments. For example, perceptual color spaces have been devised in which the Euclidean distance between two colors approximately matches the human perception of their difference.
Yossi Rubner, Carlo Tomasi
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