• ve08

  • Referenced in 142 articles [sw05141]
  • case conjugate gradient and limited memory variable metric methods were found to work quite well...
  • LMNN

  • Referenced in 67 articles [sw29754]
  • Large Margin Nearest Neighbor (LMNN), a metric learning algorithm first introduced by Kilian Q. Weinberger ... Saul in 2005. LMNN is a metric learning algorithm to improve k-nearest neighbor classification ... learning a generalized Euclidean metric Equation especially for nearest neighbor classification...
  • Pastry

  • Referenced in 107 articles [sw11775]
  • travel, according to a to scalar proximity metric like the number of IP routing hops...
  • Graphs

  • Referenced in 104 articles [sw12277]
  • networking and distributed computing and for metric embeddings in geometry as well. In this survey...
  • LDDMM

  • Referenced in 72 articles [sw06286]
  • Large Deformation Diffeomorphic Metric Mapping (LDDMM) tool is an application which aims to assign metric...
  • PNEW

  • Referenced in 68 articles [sw06157]
  • based on a sequential quadratic programming variable metric algorithm. Subroutines PBUN and PNEW, intended ... PVAR is based on special nonsmooth variable metric methods. Besides the description of methods...
  • Manopt

  • Referenced in 84 articles [sw08493]
  • localization, camera network registration, independent component analysis, metric learning, dimensionality reduction...
  • Cadabra

  • Referenced in 80 articles [sw00097]
  • that the Levi-Civita connection is a metric connection and a derivation of the Gauss...
  • SMS-EMOA

  • Referenced in 74 articles [sw11894]
  • dominated hypervolume. The hypervolume measure (or SS metric) is a frequently applied quality measure...
  • Dafny

  • Referenced in 64 articles [sw00183]
  • specifications (read and write sets), and termination metrics. To further support specifications, the language also...
  • energy

  • Referenced in 62 articles [sw08072]
  • functions of distances between statistical observations in metric spaces. Thus even if the observations...
  • ForWaRD

  • Referenced in 53 articles [sw12296]
  • optimizing an approximate mean-squared error (MSE) metric and find that signals with more economical...
  • Caltech-256

  • Referenced in 50 articles [sw30598]
  • then benchmark the dataset using two simple metrics as well as a state...
  • ANN

  • Referenced in 45 articles [sw09854]
  • class of distance functions called Minkowski metrics. These include the well known Euclidean distance, Manhattan...
  • QOCA

  • Referenced in 30 articles [sw00756]
  • simple yet powerful interface based on the metric space model for constraint manipulation. In this ... supports linear arithmetic constraints and two different metrics: the square of the Euclidean distance...
  • GRTensorII

  • Referenced in 40 articles [sw00393]
  • curved spacetimes specified in terms of a metric or set of basis vectors. The package...
  • MLMSRBF

  • Referenced in 38 articles [sw07571]
  • probabilistic sense. We also propose Metric SRS (MSRS), which is a special case...
  • POMDPS

  • Referenced in 35 articles [sw03055]
  • online approaches in different environments under various metrics (return, error bound reduction, lower bound improvement...
  • LDGB

  • Referenced in 34 articles [sw07134]
  • describe a new limited memory variable metric based bundle method for nonsmooth large-scale optimization...
  • relaimpo

  • Referenced in 20 articles [sw08174]
  • regressors in linear models. relaimpo provides several metrics for assessing relative importance in linear models ... printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition ... additionally provides a new and also recommended metric called pmvd...