نتایج جستجو برای: random sequences

تعداد نتایج: 486610  

Journal: :ACM Transactions on Graphics 2022

Time-lapse image sequences offer visually compelling insights into dynamic processes that are too slow to observe in real time. However, playing a long time-lapse sequence back as video often results distracting flicker due random effects, such weather, well cyclic the day-night cycle. We introduce problem of disentangling way allows separate, after-the-fact control overall trends, and effects ...

Journal: :Informatica, Lith. Acad. Sci. 2011
Laimutis Telksnys Jonas Kaukenas

In this paper we consider random sequences in the background of which specific shorttime random elements can emerge. The theory and constructive methods for recognition of shorttime specific random elements that may emerge in the background of random sequences are expounded. The results of experimental investigations are presented. The prospects for a wider application of the results obtained a...

Journal: :Random Structures and Algorithms 2022

The modularity of a graph is parameter that measures its community structure; the higher value (between 0 and 1), more clustered is. In this paper we show random 3-regular at least 0.667026 asymptotically almost surely (a.a.s.), thereby proving conjecture McDiarmid Skerman. We also improve a.a.s. upper bound given therein to 0.789998. For uniformly chosen G n over bounded degree sequence with a...

2006
Yann Ponty Michel Termier Alain Denise

Random sequences can be used to extract relevant information from biological sequences. The random sequences represent the “background noise” from which it is possible to differentiate the real biological information. For example, random sequences are widely used to detect over-represented and under-represented motifs, or to determine whether the scores of pairwise alignments are relevant. Anal...

Journal: :J. Comput. Syst. Sci. 2003
Wolfgang Merkle

We observe that known results on the Kolmogorov complexity of prefixes of effectively stochastic sequences extend to corresponding random sequences. First, there are recursively random random sequences such that for any nondecreasing and unbounded computable function f and for almost all n, the uniform complexity of the length n prefix of the sequence is bounded by f(n). Second, a similar resul...

2002
Smile Markovski Danilo Gligoroski Verica Bakeva

It is well known that there are no perfectly good generators of random number sequences, implying the need of testing the randomness of the sequences produced by such generators. There are many tests for measuring the uniformity of random sequences, and here we propose a few new ones, designed by random walks. The experiments we have made show that our tests discover some discrepancies of rando...

Journal: :CoRR 2013
Subhash C. Kak

This paper presents a class of random orthogonal sequences associated with the number theoretic Hilbert transform. We present a constructive procedure for finding the random sequences for different modulus values. These random sequences have autocorrelation function that is zero everywhere excepting at the origin. These sequences may be used as keys and in other cryptography applications.

Journal: :iranian journal of fuzzy systems 2013
erdinc. dundar ozer talo

in this paper, we introduce and study the concepts of $mathcal{i}_2$-convergence, $mathcal{i}_2^{*}$-convergence for double sequences of fuzzy real numbers, where $mathcal{i}_2$ denotes the ideal of subsets of $mathbb n times mathbb n$. also, we study some properties and relations of them.

2009
Vinod Chandra Achuthsankar S. Nair

Simulations of originally existent biological sequences are helpful for computational analysis and manipulations, rather than wet lab experiments, considerably reducing the cost and time associated with traditional wet lab experiments. The basic idea is to compare the results of a run on real data to many runs on random data. This paper discusses the need for random biological sequence analysis...

Journal: :Journal of Probability and Statistics 2021

We provide a permutation invariant version of the strong law large numbers for exchangeable sequences random variables. The proof consists combination Komlós–Berkes theorem, usual sequences, and de Finetti’s theorem.

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