Results 31 to 40 of about 495,115 (315)
Portfolio Evaluation with the Vector Distance Based on Portfolio Composition
We propose a novel portfolio evaluation method, a distance-based approach, which directly evaluates the portfolio composition rather than portfolio returns.
Heonbae Jeon +4 more
doaj +1 more source
Euclidean distance mapping [PDF]
Abstract Based on a two-component descriptor, a distance label for each point, it is shown that Euclidean distance maps can be generated by effective sequential algorithms. The map indicates, for each pixel in the objects (or the background) of the originally binary picture, the shortest distance to the nearest pixel in the background (or the objects)
openaire +1 more source
Euclidean Distance Degree and Mixed Volume [PDF]
AbstractWe initiate a study of the Euclidean distance degree in the context of sparse polynomials. Specifically, we consider a hypersurface $$f=0$$ f = 0 defined by a polynomial f that is general given its support, such that the support ...
Breiding, P., Sottile, F., Woodcock, J.
openaire +3 more sources
On Directed Length Ratios in the Lorentz-Minkowski Plane
The linear structure of the Lorentz-Minkowski plane is almost the same as Euclidean plane. But, there is one different aspect. These planes have different distance functions. So, it can be interesting to study the Lorentz analogues of topics that include
Abdulaziz Açıkgöz
doaj +1 more source
Road distance and travel time for an improved house price Kriging predictor
The paper designs an automated valuation model to predict the price of residential property in Coventry, United Kingdom, and achieves this by means of geostatistical Kriging, a popularly employed distance-based learning method.
Henry Crosby +5 more
doaj +1 more source
Identifikasi Suara Tangisan Bayi menggunakan Metode LPC dan Euclidean Distance
ABSTRAKKebanyakan orang tua masih jarang memiliki kemampuan mengartikan tangisan bayi. Bagi beberapa orang tua hal tersebut menjadi kendala ketika mengenali kebutuhan dari tangisan bayi.
IRMA AMELIA DEWI +2 more
doaj +1 more source
Euclidean distance between Haar orthogonal and gaussian matrices [PDF]
In this work we study a version of the general question of how well a Haar distributed orthogonal matrix can be approximated by a random gaussian matrix.
González-Guillén, Carlos E. +2 more
core +3 more sources
Comparison of distance measures in spatial analytical modeling for health service planning
Background Several methodological approaches have been used to estimate distance in health service research. In this study, focusing on cardiac catheterization services, Euclidean, Manhattan, and the less widely known Minkowski distance metrics are used ...
Knudtson Merril L +3 more
doaj +1 more source
Selective Image Segmentation Models Using Three Distance Functions
Image segmentation can be defined as partitioning an image that contains multiple segments of meaningful parts for further processing. Global segmentation is concerned with segmenting the whole object of an observed image.
Abdul Kadir Jumaat, Siti Aminah Abdullah
doaj +1 more source
Dimensional contraction via Markov transportation distance [PDF]
It is now well known that curvature conditions \`a la Bakry-Emery are equivalent to contraction properties of the heat semigroup with respect to the classical quadratic Wasserstein distance.
Bolley, François +2 more
core +5 more sources

