disjoint set sentence in Hindi
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- When used by a hit-or-miss transform, usually the structuring element is a composite of two disjoint sets ( two simple structuring elements ), one associated to the foreground, and one associated to the background of the image to be probed.
- Let's say that for a set A, you can find two open disjoint sets V1, V2 such that V1 intersection A and V2 intersection A are both not empty, and furthermore A is a subset of ( V1 ) U ( V2 ).
- In infinite-dimensional spaces there are examples of two closed, convex, disjoint sets which cannot be separated by a closed hyperplane ( a hyperplane where a " continuous " linear functional equals some constant ) even in the weak sense where the inequalities are not strict.
- Let A, B be two disjoint sets of points in \ mathbb { R } ^ d, R ( X ) denote the axis-aligned minimum bounding box for the points in X, and s > 0 denote the "'separation factor " '.
- A vector measure \ mu is called "'countably additive "'if for any sequence ( A _ i ) _ { i = 1 } ^ { \ infty } of disjoint sets in \ mathcal F such that their union is in \ mathcal F it holds that
- This work has been proven to also be applicable to boxels in this context, and it is shown that there exist four different partitionings of the boxels into ordered sequences of disjoint sets, called antichains, so that boxels in one antichain can act as occluders of the boxels in subsequent antichains.
- It has been remarked by Jacques Roubaud that these two novels draw words from two disjoint sets of the French language, and that a third novel would be possible, made from the words not used so far ( those containing both " e " and a vowel other than " e " ).
- Once you separate the data into separate " blobs, " ( rather, " once you classify the data into disjoint sets " ), you can fit a linear equation, or any other sort of statistical parameterization, for each set . talk ) 21 : 40, 1 August 2012 ( UTC)
- An " incidence structure " consists of a set whose elements are called " points ", a disjoint set whose elements are called " lines " and an " incidence relation " between them, that is, a subset of whose elements are called " flags ".
- What this means is that a CRF is an undirected graphical model whose nodes can be divided into exactly two disjoint sets \ boldsymbol { X } and \ boldsymbol { Y }, the observed and output variables, respectively; the conditional distribution p ( \ boldsymbol { Y } | \ boldsymbol { X } ) is then modeled.
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