• GMRFLib

  • Referenced in 275 articles [sw06641]
  • Gaussian Markov random fields. Theory and applications. Researchers in spatial statistics and image analysis ... familiar with Gaussian Markov Random Fields (GMRFs), and they are traditionally among ... with such widespread use in the field of spatial statistics, it is surprising that there ... reference on the subject.par Gaussian Markov Random Fields: Theory and Applications provides such a reference...
  • RandomFields

  • Referenced in 51 articles [sw08188]
  • package RandomFields: Simulation and Analysis of Random Fields. Simulation of Gaussian and extreme value random...
  • iSNO-PseAAC

  • Referenced in 39 articles [sw22446]
  • predictor was implemented using the conditional random field (CRF) algorithm. As a demonstration, a benchmark...
  • MersenneTwister

  • Referenced in 262 articles [sw05367]
  • twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. A new algorithm called Mersenne ... polynomial calculations over the two-element field...
  • TBSIM

  • Referenced in 14 articles [sw21202]
  • conditional simulation of three-dimensional Gaussian random fields via the turning bands method. The simulation ... spatially correlated Gaussian random fields is widespread in geologic, hydrologic and environmental applications for characterizing ... realizations of stationary and intrinsic Gaussian random fields, (ii) conditioning these realizations...
  • QUIC

  • Referenced in 23 articles [sw11795]
  • graph structure of a Gaussian Markov Random Field, from very limited samples. We propose...
  • ToulBar2

  • Referenced in 22 articles [sw07289]
  • such as Cost Function Networks, Markov Random Fields, Weighted Constraint Satisfaction Problems, Weighted...
  • MALLET

  • Referenced in 22 articles [sw10602]
  • Maximum Entropy Markov Models, and Conditional Random Fields. These methods are implemented in an extensible...
  • AS 312

  • Referenced in 13 articles [sw33931]
  • algorithm for simulating stationary Gaussian random fields. This paper describes a Fortran program which determines ... matrix and simulates a stationary Gaussian random field on a grid. The proposed procedure...
  • CompRandFld

  • Referenced in 12 articles [sw14644]
  • CompRandFld: Composite-Likelihood Based Analysis of Random Fields. A set of procedures for the analysis ... Random Fields using likelihood and non-standard likelihood methods is provided. Spatial analysis often involves...
  • FRK

  • Referenced in 90 articles [sw19172]
  • projected field is a key building block of the Spatial Random Effects (SRE) model...
  • LibDAI

  • Referenced in 15 articles [sw06422]
  • well as undirected ones (Markov random fields and factor graphs). It offers various approximations...
  • DeepLab

  • Referenced in 13 articles [sw15303]
  • filters at multiple sampling rates and effective fields-of-views, thus capturing objects as well ... layer with a fully connected Conditional Random Field (CRF), which is shown both qualitatively...
  • COSSAN

  • Referenced in 9 articles [sw16555]
  • stochastic methods including various sampling techniques, random fields, fatigue analysis, reliability based optimization, random vibration...
  • smerfs

  • Referenced in 6 articles [sw23987]
  • Fast generation of isotropic Gaussian random fields on the sphere. The efficient simulation of isotropic ... Gaussian random fields on the unit sphere is a task encountered frequently in numerical applications...
  • CRFsuite

  • Referenced in 5 articles [sw14412]
  • CRFsuite: A fast implementation of conditional random fields (CRFs). CRFsuite is an implementation of Conditional ... Random Fields (CRFs) [Lafferty 01][Sha 03][Sutton] for labeling sequential data. Among the various...
  • LatticeKrig

  • Referenced in 4 articles [sw15594]
  • LatticeKrig: Multiresolution Kriging Based on Markov Random Fields. Methods for the interpolation of large spatial ... supported basis functions and a Markov random field model for the basis coefficients. These features ... besides a rectangular domain. The Markov random field approach combined with a basis function representation...
  • GAUSSIAN

  • Referenced in 4 articles [sw33080]
  • routines for generating stationary Gaussian random fields over regular grids, and estimation of discrete random...
  • CRF++

  • Referenced in 6 articles [sw10648]
  • open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed...
  • ABNER

  • Referenced in 6 articles [sw30049]
  • machine learning system using conditional random fields with a variety of orthographic and contextual features...