• 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...