Mostrando 501 - 520 Resultados de 136,227 Para Buscar '"matching"', tiempo de consulta: 0.69s Limitar resultados
  1. 501
    “…In this paper, a novel matched filter based on a new kernel function with Cauchy distribution is introduced to improve the accuracy of the automatic retinal vessel detection compared with other available matched filter-based methods, most notably, the methods built on Gaussian distribution function. …”
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  2. 502
  3. 503
    “…Survey reports from the Medicare Current Beneficiary Survey (MCBS) were matched to Medicare administrative files to create the 1992 MCBS Cost and Use file. …”
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  4. 504
    “…In this paper, first, we propose a preferential matching algorithm to find MDSs that have a specific degree property. …”
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  5. 505
    “…Ontology matching is a growing field of research that is of critical importance for the semantic web initiative. …”
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  6. 506
    por Kuan, Pei-Fen
    Publicado 2014
    “…This paper focuses on the problem of partially matched samples in the presence of confounders. We propose using propensity score matching to adjust for confounding factors for the subset of data with incomplete pairs, followed by integrating the P-values computed from the complete and incomplete paired samples, respectively. …”
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  7. 507
    “…Two controls were selected for every case and matched for date of pregnancy and area of residence. …”
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  8. 508
    por Austin, Peter C
    Publicado 2014
    “…We used Monte Carlo simulations to examine the following algorithms for forming matched pairs of treated and untreated subjects: optimal matching, greedy nearest neighbor matching without replacement, and greedy nearest neighbor matching without replacement within specified caliper widths. …”
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  9. 509
    “…METHODS: Instead of an exact match search, we used a fuzzy algorithm to find similar matches for searched terms. …”
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  10. 510
    “…This requires phase matching to avoid that light generated at different positions interferes destructively. …”
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  11. 511
  12. 512
    “…This study explored facial identification with a pairwise matching task to determine whether view generalization is possible when memory factors are minimised. …”
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  13. 513
    “…OBJECTIVES: 1. to assess the importance of clinical experience on shade matching accuracy; 2. to assess the influence of two standard light sources on the ability to match shade tabs; 3. to identify the area in a VITA Classical shade guide where matching errors are most likely to appear. …”
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  14. 514
    “…Probability matching is a classic theory of decision making that was first developed in models of cognition. …”
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  15. 515
    “…The method of adaptive approximations by Matching Pursuit makes it possible to decompose signals into basic components (called atoms). …”
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  16. 516
    por Hu, Zhishang, Ripple, Dean C
    Publicado 2014
    “…In this paper, we demonstrate the use of 2-pyridinemethanol (2P) aqueous solutions as a refractive index matching liquid. The high refractive index and low viscosity of 2P-water mixtures enables refractive index matching of beads that cannot be index matched with glycerol-water or sucrose-water solutions, such as silica beads that have the refractive index of bulk fused silica or of polymethylmethacrylate beads. …”
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  17. 517
    “…In this paper, a model for carpool matching services is proposed, and both optimal and heuristic approaches are tested to find solutions for that model. …”
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  18. 518
    por Mighell, Alan D.
    Publicado 2011
    “…These lattice-matching methods are based on either of two strategies: (a) the reduced cell strategy–the matching of reduced cells of the respective lattices or (b) the matrix strategy–the determination of a matrix or matrices relating the two lattices coupled with an analysis of the matrix elements. …”
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  19. 519
    por Neri, Peter
    Publicado 2015
    “…It is generally acknowledged that biological vision presents nonlinear characteristics, yet linear filtering accounts of visual processing are ubiquitous. The template-matching operation implemented by the linear-nonlinear cascade (linear filter followed by static nonlinearity) is the most widely adopted computational tool in systems neuroscience. …”
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  20. 520
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