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Additionally,the algorithm is computationally efficient enough to be applied on large data sets.As an example the algorithm was used to identify the MMPs in the 300k NIH MLSMR set.The algorithm identified 5.3 million matched molecular pairs in the set.These pairs cover 2.6 million unique molecular transformations.

Controls for potential influence of outlier values have been performed by applying the multivariate blocked adaptive computationally efficient outlier nominators (BACON) algorithm proposed by A COMPUTATIONALLY EFFICIENT AMBIGUITYdomain.It uses a very efficient algorithm to compute the residuals associated with each potential combination of ambiguities to be tested.Several other techniques are employed to simplify the calculations and to enhance the probability of identifying the correct ambiguity vector.The intent is to minimize the number of data epochs

computationally efcient and theoretically consistent algorithm to select ground motions that match the target response spectrum mean and variance.The selec-tion algorithm probabilistically generates multiple response spectra from a target distribution,and then selects recorded ground motions whose response spectraA computationally efficient Gauss-Newton method for computationally efficient algorithm to identify matchedarticle{osti_153040,title = {A computationally efficient Gauss-Newton method for automatic history matching},author = {Tan,T B},abstractNote = {Methods for automatic history matching that have been previously published have either required excessive computational time or had linear convergence characteristics.This paper presents a modified nonlinear regression method,the Gauss-Newton

We develop an evolutionary algorithm that is more efficient and identifies empirically more optimal solutions than any other causal inference method.To gain greater efficiency,we also develop a scalable algorithm for a parallel computing environment by enlisting additional processors to search a greater range of the solution space and to aid A study of the 2D -SIFT algorithm - Universiteit GentThe algorithm matching to large databases No algorithms are known that can identify the exact nearest neighbor of points in high dimensional spaces that are more efficient than exhaustive search Algorithms such as K-d tree provide no speedup Approximate algorithm called best bin first (BBF) IBBT Ugent Telin IPI Dimitri Van Cauwelaert

considerable range.For efficient detection of key points,a cascade filtering approach is used in which computationally Manuscript submitted June 2nd,2007.This paper details the implementation of an image processing algorithm to extract Scale Invariant Featues (SIFT) of an image.The work was done as a Class Project for theAn Industrial-Strength Audio Search AlgorithmFeb 07,2002 computationally efficient algorithm to identify matched#0183;Amena using Philips robust hashing algorithm [2-4].Using the algorithm from Relatable,Neuros has included a sampling feature on their MP3 player which allows a user to collect a 30-second sample from the built-in radio,then later plug into an online server to identify the music [5,6].Audible Magic uses the Muscle Fish algorithm to offer the

In his algorithm,the Laplacian of Gaussian (LoG) spatial filter operator and a threshold operation are combined to generate bi-level images with distinct regions that could be considered points. Using a series of matching algorithms,those points having similar LoG values are matched,forming tie-point pairs.Using these pairs,a 2COMPUTATIONALLY EFFICIENT MONTE CARLO ESTIMATION Abstract.In this paper,Monte Carlo estimation techniques are presented for computationally efficient implementation of two methods for matched field source localization in uncertain ocean channels.In the Optimal Uncertain Field Processor (OUFP),Monte Carlo integration is used to integrate out the environmental parameters and thus estimate the a posteriori distribution of the source location

A few algorithms,such as SISSRs,MACS and FindPeaks,can identify transcription factor binding targets solely on the basis of ChIP-Seq data,without the use of control samples.Cited by 337Publish Year 2010Author Jameed Hussain,Ceara ReaComputationally Efficient Algorithm to Identify Matched Additionally,the algorithm is computationally efficient enough to be applied on large data sets.As an example the algorithm was used to identify the MMPs in the approximately 300k NIH MLSMR set.

Computationally efficient algorithm to identify matched molecular pairs (MMPs) in large data sets.Modern drug discovery organizations generate large volumes of SAR data.A promising methodology that can be used to mine this chemical data to identify novel structure-activity relationships is the matched molecular pair (MMP) methodology.Cited by 89Publish Year 1994Author J.A.Shorey,L.W.Nolte,J.L.KrolikImage Matching with OpenCVs Template Matching byAug 11,2020 computationally efficient algorithm to identify matched#0183;The Template Matching module includes different methods of calculating correlations,one of them being a normalized calculation,returning values between 0 (no similarity) to 1 (completely identical images) corr = cv2.matchTemplate (group1_image,group2_image,cv2.TM_CCOEFF_NORMED) The indexing shows that were accessing a matrix.

Computationally Efficient Robust Estimation of Sparse Functionals.02/24/2017 by Simon S.Du,et al. Carnegie Mellon University 0 share .Many conventional statistical procedures are extremely sensitive to seemingly minor deviations from modeling assumptions.Computationally efficient algorithm to identify matched molecular pairs(MMPs) in large data sets.Modern drug discovery organizations generate large volumes of SAR data.A promising methodology that can be used to mine this chemical data to identify novel structure-activity relationships is the matched molecular pair (MMP) methodology.Author:Jameed Hussain,Ceara ReaCited by:337Publish Year:2010Computationally efficient algorithm to identify matched Was this helpful?People also askWhat is the complexity of the image comparison algorithm?What is the complexity of the image comparison algorithm?Since were comparing every pair of images,the complexity of the algorithm is O (n*m),n being the number of images in group one,and m being the number of images in group two.Can we make the algorithm more efficient?Image Matching with OpenCVs Template Matching by Aviad

computationally efficient algorithm to identify matched#0183;Record linkage algorithms aim to identify pairs of records that correspond to the same individual from two or more datasets.In general,fields that are common to both datasets are compared to determine which record-pairs to link.Dynamically dimensioned search algorithm for Jan 17,2007 computationally efficient algorithm to identify matched#0183;[65] For the range of test functions and watershed model calibration examples considered in this study,numerical results demonstrate that the DDS algorithm is a more computationally efficient and robust optimization algorithm than SCE in the context of distributed watershed model automatic calibration.DDS has been specifically shown to outperform SCE for multiple computationally

IntroductionBackgroundMethodsResultsDiscussionMicrosimulations and agent-based models (ABMs) are increasingly used across a broad area of disciplines,e.g.biology (Gras et al.2009),sociology (Macy et al.2002),economics (Deissenberg et al.2008) and epidemiology (Gray et al.2011).In many of these applications an artificial society of agents,usually representing humans or animals,is created,and the agents need to be paired with each other to allow for interactions between them.Zinn (2012) addresses some of the conceptual challenges of findinSee more on jasss.soc.surrey.ac.ukEarthquake detection through computationally efficient Our approach,an algorithm that we call Fingerprint And Similarity Thresholding (FAST),builds on the Waveprint audio fingerprinting algorithm ,which combines computer-vision techniques andFast-SL an efficient algorithm to identify synthetic Nevertheless,our algorithm can identify a list of lethal (and non-lethal) phenotypes,which can be used to refine the metabolic model,based on disagreements with experimental results.Further,the synthetic lethals predicted by our algorithm are valid only in a particular environment/growth medium; it is however straightforward to identify

It improves upon an earlier algorithm by Jayaram et al.(2011).Further documentation can be found in the following paper Baker,J.W.,and Lee,C.(2018).An Improved Algorithm for Selecting Ground Motions to Match a Conditional Spectrum. Journal of Earthquake Engineering,22(4),708723.K-Nearest Neighbors Algorithm.KNN is a non-parametricAug 06,2020 computationally efficient algorithm to identify matched#0183;Computationally intensive recall. Its a very efficient data structure that allows us to perform operations in O(1) time. LSH is a hashing based algorithm to identify approximate nearest

computationally efficient and accurate inverse algorithms would be welcome. the proposed algorithm can successfully identify the type of synaptic connections,whereas Fig.1b demonstrates rons and that of GLMs closely match each other.Soudry et al.(2015) have proposed an approach that covers a wider Matched Molecular Pair Analysis in Short Algorithms Jan 01,2017 computationally efficient algorithm to identify matched#0183;ThricePairs uses SMARTS patterns to specify substructures.This was later followed by WizePairZ ,described in 2010 by Warner et al.as a tool which can automatically detect and identify matched molecular pairs and encoded them in SMIRKS reaction notation.In essence,it is a MCS method which captures different levels of the local single site environment similar to the approach of

Our approach relies on a novel computationally efficient procedure to certify whether a candidate solution is near-optimal,based on semi-definite programming.We use this certificate procedure as a black-box and turn it into an efficient learning algorithm by searching over the space of halfspaces via online convex optimization.SEISMOLOGY Earthquake detection throughEarthquake detection through computationally efficient similarity search Clara E.Yoon,1* Ossian OReilly,1 Karianne J.Bergen,2 Gregory C.Beroza1 Seismology is experiencing rapid growth in the quantity of data,which has outpaced the development of processing algorithms.

Computationally Efficient Algorithm to Identify Matched Molecular Pairs (MMPs) in Large Data Sets.Journal of Chemical Information and Modeling 2010,50 (3) ,339-348.https://doi/10.1021/ci900450m; S.Nehru Viji,P.Arun Prasad and N.Gautham.Some results are removed in response to a notice of local law requirement.For more information,please see here.12345Next

Apr 11,2018 computationally efficient algorithm to identify matched#0183;RESULTS We designed an efficient algorithm,called iSeg,for segmentation of genomic and epigenomic profiles.iSeg first utilizes dynamic programming to identify candidate segments andiSeg an efficient algorithm for segmentation of genomic Results We designed an efficient algorithm,called iSeg,for segmentation of genomic and epigenomic profiles.iSeg first utilizes dynamic programming to identify candidate segments and test for significance.It then uses a novel data structure based on two coupled balanced binary trees to detect overlapping significant segments and update them

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