• wbs

  • Referenced in 64 articles [sw11110]
  • Wild binary segmentation for multiple change-point detection. We propose a new technique, called wild ... binary segmentation (WBS), for consistent estimation of the number and locations of multiple change-points ... very small jump magnitudes, unlike standard binary segmentation. On the other hand, despite ... proof of consistency of binary segmentation with improved rates of convergence, as well...
  • AdaBoost.MH

  • Referenced in 478 articles [sw08517]
  • than being binary, is an arbitrary finite set or a bounded segment of the real...
  • basta

  • Referenced in 13 articles [sw29265]
  • parameter values. Our method, termed BASTA (binary segmentation for transformed auto-regressive conditional heteroscedasticity), proceeds ... stages: process transformation and binary segmentation. The process transformation decorrelates the original process and lightens ... tails; the binary segmentation consistently estimates the change points. We propose and justify two particular ... threshold parameter for the binary segmentation stage. A comparative simulation study illustrates good performance...
  • Valmet

  • Referenced in 9 articles [sw01281]
  • probabilistic overlap measure for non-binary segmentations, c) mean/median absolute distances between object surfaces...
  • breakfast

  • Referenced in 6 articles [sw22395]
  • point detection in data sequences, or sequence segmentation, using computationally efficient multiscale methods. This version ... Tail-Greedy Unbalanced Haar”, ”Wild Binary Segmentation” and ”Adaptive Wild Binary Segmentation” change-point detection...
  • DNAcopy

  • Referenced in 7 articles [sw16252]
  • analysis. R package. Implements the circular binary segmentation (CBS) algorithm to segment DNA copy number...
  • APOGEE

  • Referenced in 35 articles [sw08451]
  • number of binary decision variables that scales linearly with the number of segments ... bilinear functions with a logarithmic number of binary variables and computationally compare the performance...
  • seqCBS

  • Referenced in 6 articles [sw12152]
  • uses an adaptation of Circular Binary Segmentation. Also included are methods for point-wise Bayesian...
  • wbsts

  • Referenced in 3 articles [sw19367]
  • stationary time series using wild binary segmentation. We propose a new technique for consistent estimation ... segmentation procedure is the wild binary segmentation method (WBS), a technique which involves a certain ... advantage of WBS over the standard binary segmentation lies in its localisation feature, thanks...
  • eNchange

  • Referenced in 1 article [sw33923]
  • univariate time series using the Ensemble Binary Segmentation of Korkas...
  • BayesProject

  • Referenced in 1 article [sw35837]
  • cusum methods, and a wild binary segmentation wrapper for all algorithms...
  • cpcens

  • Referenced in 1 article [sw37366]
  • most recent changepoint, double cumulative sum binary segmentation, multiple changepoints in multivariate time series, analyzing...
  • changepointsHD

  • Referenced in 1 article [sw26719]
  • black-box models. The methods include binary segmentation for multiple change-point estimation. For estimating...
  • metilene

  • Referenced in 1 article [sw28768]
  • with unrivaled specificity and sensitivity. A binary segmentation algorithm combined with a two-dimensional statistical...
  • BinSim

  • Referenced in 1 article [sw31767]
  • BinSim: trace-based semantic binary diffing via system call sliced segment equivalence checking. Detecting differences ... between two binary executables (binary diffing), first derived from patch analysis, have been widely employed ... this paper, we propose system call sliced segment equivalence checking, a hybrid method to identify ... behaviors. Our approach improves existing semantics-based binary diffing by 1) inferring whether two executable...
  • EIT-Mesher

  • Referenced in 1 article [sw36099]
  • MESHER – Segmented FEM Mesh Generation and Refinement. EIT-MESHER (https://github.com/EIT-team/Mesher) is C++ software ... Model tetrahedral meshes from binary masks of 3D volume segmentations. Originally developed for biomedical applications...
  • woeBinning

  • Referenced in 1 article [sw19177]
  • like approach that iteratively segments the initial bins via binary splits. Both procedures merge, respectively...
  • CobWeb

  • Referenced in 1 article [sw26487]
  • user interface tailored explicitly for accurate image segmentation and representative elementary volume analysis of digital ... deployed as a series of windows executable binaries which use image processing and machine learning ... MATLAB. The user-friendly interface enables image segmentation and cross-validation employing K-means, Fuzzy...
  • ivadomed

  • Referenced in 1 article [sw35828]
  • trained models such as spinal tumor segmentation and vertebral labeling. Original features of ivadomed include ... losses adapted to imbalanced classes and non-binary predictions. Each step is conveniently configurable ... applications of ivadomed include MRI object detection, segmentation, and labeling of anatomical and pathological structures...