• Tensorlab

  • Referenced in 77 articles [sw14255]
  • toolbox that offers algorithms for: structured data fusion: define your own (coupled) matrix and tensor ... support for dense, sparse and incomplete data sets, tensor decompositions: canonical polyadic decomposition (CPD), multilinear...
  • StatMatch

  • Referenced in 23 articles [sw11933]
  • number of common variables (aka data fusion). Some functions can also be used to impute...
  • FAIR.m

  • Referenced in 57 articles [sw34733]
  • registration, fusion, optical flow, or warping and models the process of transforming data into...
  • COFFIN

  • Referenced in 8 articles [sw04881]
  • several domains and even enable heterogeneous data fusion by concatenating feature spaces or multiple kernel...
  • simPop

  • Referenced in 7 articles [sw23153]
  • simulated annealing, and modeling or data fusion by logistic regression. We demonstrate ... report on the utility of the resulting data. We conclude with suggestions for further development...
  • D-STEM

  • Referenced in 7 articles [sw16413]
  • model and arriving at a multivariate data fusion with tapering...
  • VisAD

  • Referenced in 4 articles [sw13001]
  • model that supports interactive 3-D, data fusion, multiple data views, direct manipulation, collaboration...
  • BTSR

  • Referenced in 2 articles [sw02801]
  • BTSR: Secure data fusion and routing algorithm based on behavior trust In order to treat ... routing security in wireless sensor network, data fusion event was both spatially and temporally correlated ... taken into account, a secure data fusion and routing algorithm based on behavior trust (BTSR ... sensors and statistical characters of the data fusion event. The simulation results show that BTSR...
  • clusterpath

  • Referenced in 29 articles [sw41747]
  • Clusterpath: An Algorithm for Clustering using Convex Fusion Penalties. We present a new clustering algorithm ... learning a tree structure from the data...
  • G-LiHT

  • Referenced in 2 articles [sw31764]
  • moisture stress. G-LiHT enables data fusion studies by providing coincident data in time...
  • SEN1-2

  • Referenced in 1 article [sw39491]
  • Deep Learning in SAR-Optical Data Fusion. While deep learning techniques have an increasing impact ... that is the fusion of synthetic aperture radar (SAR) data and optical imagery. With this ... deep learning research in SAR-optical data fusion. SEN1-2 comprises 282,384 pairs ... sensing as well as multi-sensor data fusion...
  • Bayes++

  • Referenced in 1 article [sw20184]
  • Filtering is a probabilistic technique for data fusion. The technique combines a concise mathematical formulation ... formulation results in a naturally iterative data fusion solution. For dynamic systems there...
  • deFuse

  • Referenced in 1 article [sw38447]
  • Fusion Discovery in Tumor RNA-Seq Data. Gene fusions created by somatic genomic rearrangements ... discovery of gene fusions using RNA-Seq data remain underdeveloped. We have developed deFuse ... novel computational method for fusion discovery in tumor RNA-Seq data. Unlike existing methods that ... true positive and 61 true negative fusion sequences (as confirmed by RT-PCR), and have...
  • BaBooN

  • Referenced in 1 article [sw19481]
  • missing-data pattern resembles a data fusion situation, or any other missing-by-design pattern ... where several variables have identical missing-data patterns. Both variants can be run as ’single...
  • GeoBO

  • Referenced in 1 article [sw36971]
  • framework: from prior selection and input, data fusion and inversion, to the final sensor optimisation...
  • DLfuse

  • Referenced in 1 article [sw40552]
  • DLfuse: Distributed Lag Data Fusion for Estimating Ambient Air Pollution. This package implements a hierarchical...
  • SIRF

  • Referenced in 4 articles [sw27454]
  • image fusion methods on Ms image data sets from four satellites. Extensive experimental results demonstrate...
  • FENDL

  • Referenced in 1 article [sw33148]
  • FENDL-3.1: Fusion Evaluated Nuclear Data Library Ver.3.1. Nuclear Data Libraries for Advanced Systems: Fusion...
  • EMBERS

  • Referenced in 2 articles [sw27603]
  • individual models that leverage specific data sources, and a fusion and suppression engine that supports ... specific predictions were made along with the data utilized for forecasting. Through numerous evaluations...
  • Polly

  • Referenced in 2 articles [sw41994]
  • Polly is a high-level loop and data-locality optimizer and optimization infrastructure for LLVM ... transformations, especially tiling and loop fusion to improve data-locality. Polly can also exploit OpenMP...