• AS 154

  • Referenced in 52 articles [sw14113]
  • moving average models by means of Kalman filtering...
  • dlm

  • Referenced in 28 articles [sw04503]
  • Dynamic Linear Models. Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear ... models and state space models, the Kalman filter for estimation and forecasting in dynamic linear ... dynamic linear models, state estimation and forecasting, filtering and the Kalman filter, and some specialized...
  • PDE-Net

  • Referenced in 28 articles [sw36963]
  • learn differential operators by learning convolution kernels (filters), and apply neural networks or other machine ... proposed PDE-Net is that all filters are properly constrained, which enables us to easily ... orders of sum rules of filters (an important concept originated from wavelet theory). We also...
  • STAMP

  • Referenced in 43 articles [sw09536]
  • using state space methods and Kalman filtering. However, STAMP is set up in an easy...
  • Gudhi

  • Referenced in 29 articles [sw08777]
  • flexible data structure for representing general (filtered) simplicial complexes. The persistent homology of a filtered...
  • BraMBLe

  • Referenced in 27 articles [sw36453]
  • foreground modelling. Second we introduce a Bayesian filter for tracking multiple objects when the number ... over time. We show how a particle filter can be used to perform joint inference...
  • reccv

  • Referenced in 35 articles [sw26388]
  • functions, signal-to-noise ratios and wavelet filters. Because there is no single criterion that...
  • Signal Processing Toolbox

  • Referenced in 24 articles [sw06876]
  • functions and apps to generate, measure, transform, filter, and visualize signals. The toolbox includes algorithms ... smoothing, and synchronizing signals, designing and analyzing filters, estimating power spectra, and measuring peaks, bandwidth...
  • spdep

  • Referenced in 33 articles [sw04578]
  • models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial...
  • HumanEva

  • Referenced in 23 articles [sw15489]
  • Sequential Importance Resampling and Annealed Particle Filtering. In the context of this baseline algorithm ... laboratory environment, where initialization is available, Bayesian filtering tends to perform well. The datasets...
  • DeepLab

  • Referenced in 17 articles [sw15303]
  • merit. First, we highlight convolution with upsampled filters, or ’atrous convolution’, as a powerful tool ... effectively enlarge the field of view of filters to incorporate larger context without increasing ... probes an incoming convolutional feature layer with filters at multiple sampling rates and effective fields...
  • ParaSails

  • Referenced in 27 articles [sw11521]
  • sparsified matrix. ParaSails also uses a post-filtering technique to reduce the cost of applying...
  • rastamat

  • Referenced in 27 articles [sw12356]
  • separate technique that applies a band-pass filter to the energy in each frequency subband...
  • mlr

  • Referenced in 27 articles [sw12357]
  • techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension...
  • hroot

  • Referenced in 27 articles [sw38368]
  • randomized invitation process based on a filtered, pre-specified subject pool, and a complete documentation...
  • EigenRank

  • Referenced in 14 articles [sw33329]
  • EigenRank: A ranking-oriented approach to collaborative filtering. A recommender system must be able ... items, traditional collaborative filtering algorithms are based on predicting the potential ratings that a user ... this paper, we propose a collaborative filtering approach that addresses the item ranking problem directly ... rating values and propose new collaborative filtering algorithms for ranking items based on the preferences...
  • Perseus

  • Referenced in 25 articles [sw08778]
  • compute persistent homology of various types of filtered complexes...
  • Filtrane

  • Referenced in 17 articles [sw05177]
  • FILTRANE, a Fortran 95 filter-trust-region package for solving nonlinear least-squares and nonlinear ... experimental study of the parameters inherent in filter algorithms...
  • SPHysics

  • Referenced in 22 articles [sw16794]
  • formulation along with enhancements like density filtering, arbitrary Lagrange–Euler (ALE) schemes and the incorporation...
  • ECHO

  • Referenced in 22 articles [sw22269]
  • that reconstruction based on a Monotonicity Preserving filter applied to a fixed 5-point stencil...