Results 11 to 20 of about 250,897 (267)
Thresholds and Expectation Thresholds [PDF]
We consider relations between thresholds for monotone set properties and simple lower bounds for such thresholds. A motivating example (Conjecture 2): Given an n-vertex graph H, write pE for the least p such that, for each subgraph H' of H, the expected number of copies of H' in G=G(n, p) is at least 1, and pc for that p for which the probability that ...
Jeff Kahn, Gil Kalai
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Threshold queries are an important class of queries that only require computing or counting answers up to a specified threshold value. To the best of our knowledge, threshold queries have been largely disregarded in the research literature, which is surprising considering how common they are in practice.
Bonifati, Angela +9 more
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Shell rupture threshold, fragmentation threshold, blake threshold [PDF]
The disruption of contrast agent microbubbles has been implicated in novel techniques for high-MI imaging and local drug delivery. At MI>0.6, microbubble fragmentation has been observed with thin-shelled agent (≈10 nm), and shell rupture with thick-shelled agent (≈250 nm).
Postema, Michiel +2 more
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Abstract We consider the problem of sampling elements with some desired property from a large set, without testing the property of interest, but with the (probabilistic) assurance to have at least one match among the random sample. Like in ranked set sampling, we consider an infinite population under study, whose properties of interest are too ...
Stefan Rass +3 more
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Effects of thresholding on correlation-based image similarity metrics
The computation of image similarity is important for a wide range of analyses in neuroimaging, from decoding to meta-analysis. In many cases the images being compared have empty voxels, but the effects of such empty voxels on image similarity metrics ...
Vanessa V Sochat +6 more
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Thresholds versus fractional expectation-thresholds [PDF]
Proving a conjecture of Talagrand, a fractional version of the 'expectation-threshold' conjecture of Kalai and the second author, we show for any increasing family $F$ on a finite set $X$ that $p_c (F) =O( q_f (F) \log \ell(F))$, where $p_c(F)$ and $q_f(F)$ are the threshold and 'fractional expectation-threshold' of $F$, and $\ell(F)$ is the largest ...
Frankston, Keith +3 more
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The image segmentation refers to the extraction of region of interest and it plays a vital role in medical image processing. This work proposes multilevel thresholding based on optimization technique for the extraction of region of interest and ...
A. Ahilan +11 more
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Object segmentation is a widely studied topic in digital image processing, as to it can be used for countless applications in several fields. This process is traditionally achieved by computing an optimal threshold from the image intensity histogram ...
Jorge Munoz-Minjares +3 more
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A digraph whose degree sequence has a unique vertex labeled realization is called threshold. In this paper we present several characterizations of threshold digraphs and their degree sequences, and show these characterizations to be equivalent. One of the characterizations is new, and allows for a shorter proof of the equivalence of the two known ...
Cloteaux, Brian +3 more
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Many physiological, biomechanical, evolutionary and clinical studies that explore skeletal structure and function require successful separation of trabecular from cortical compartments of a bone that has been imaged by X-ray micro-computed tomography ...
Eva C. Herbst +5 more
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