• CoSaMP

  • Referenced in 188 articles [sw08727]
  • signal recovery from incomplete and inaccurate samples. Compressive sampling offers a new paradigm for acquiring ... basis. The major algorithmic challenge in compressive sampling is to approximate a compressible signal from ... matrix-vector multiplies with the sampling matrix. For compressible signals, the running time is just...
  • ADMiRA

  • Referenced in 30 articles [sw31664]
  • that extends Needell and Tropp’s compressive sampling matching pursuit (CoSaMP) algorithm from the sparse...
  • L1-MAGIC

  • Referenced in 19 articles [sw12430]
  • convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point...
  • GraphLab

  • Referenced in 21 articles [sw12830]
  • belief propagation, Gibbs sampling, Co-EM, Lasso and Compressed Sensing. We show that using GraphLab...
  • Ent

  • Referenced in 6 articles [sw08993]
  • number generators for encryption and statistical sampling applications, compression algorithms, and other applications where...
  • Magni

  • Referenced in 1 article [sw27241]
  • Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images. Magni ... open source Python package that embraces compressed sensing and Atomic Force Microscopy (AFM) imaging techniques...
  • Algorithm 938

  • Referenced in 1 article [sw12898]
  • these compressed sequences represents a statistic (an average, maximum, random sample, etc.) computed over ... contiguous chunk of the original sequence. Compressing circular buffers gain their efficiency by using ... oldest sequential over-sampled values are compressed into one. The associated Java implementation supports...
  • scgwr

  • Referenced in 1 article [sw28372]
  • geographically weighted regression (GWR) algorithms for large samples, none of them achieves the linear-time ... compression of the matrices and vectors whose size depends on the sample size, prior ... computational step in conventional GWR. This pre-compression allows us to run the proposed ... that its computation time increases linearly with sample size, whereas conventional GWR algorithms take...
  • ZSTD

  • Referenced in 1 article [sw29710]
  • data, called dictionary compression, and can create dictionaries from any sample set. Zstandard library...
  • EdgeCS

  • Referenced in 11 articles [sw14134]
  • edge detectors have not been used on compressive sensing measurements to improve the edge recovery ... tested on incomplete $k$-space (spectral Fourier) samples. It applies to other types of measurements...
  • Comet

  • Referenced in 3 articles [sw22899]
  • with two large datasets (5GB and 50GB compressed) show that COMET compares favorably (in both ... training time) to learning on a sub sample of data using a serial algorithm. Finally...
  • Checkmark

  • Referenced in 5 articles [sw11474]
  • Important new classes of attacks: Wavelet compression (jpeg2000 based on JASPER); Projective transformations, modeling ... linear line removal; Collage attack, down/up sampling, dithering, thresholding. In addition, test classes...
  • Gudhi

  • Referenced in 14 articles [sw08777]
  • learning topological invariants of a shape, sampled by a point cloud. A popular approach ... persistent cohomology algorithm, implemented with a compressed annotation matrix. Persistent cohomology is the dual...
  • DiMP-hydro

  • Referenced in 2 articles [sw33133]
  • fluid microflows within pore space of core samples. The paper is devoted to the description ... microflows of single- and two-phase viscous compressible fluids with different rheology in spatial voxel ... microflows within pore spaces of core (rock) samples. Simulation results can be used to determine...
  • Natter

  • Referenced in 1 article [sw24309]
  • statistics with applications in image signaling, image compression, computer vision, and human perception. Because ... possible images is too large to be sampled exhaustively, natural image models must inevitably make...
  • TuckerMPI

  • Referenced in 1 article [sw27856]
  • which equates to 99-99.999% compression (depending on the desired accuracy) in substantially less time ... allows for reconstruction of partial or down-sampled data on a single node, without...
  • KernelToolBox

  • Referenced in 1 article [sw15844]
  • instance, 1) Image denoising: Gaussian noise removal; Compression artifact reduction; Film grain reduction; Salt & pepper ... Image upscale (reconstruction an image from regularly sampled data set); Image reconstruction from an irregularly...
  • iDUDE

  • Referenced in 4 articles [sw21734]
  • probability distributions of image samples, given the sample values in their neighborhood. When the alphabet ... addressing similar issues in lossless image compression. Instantiations of the enhanced framework, which is referred...
  • DMAP

  • Referenced in 2 articles [sw23511]
  • identify differentially methylated regions across multiple samples from reduced representation bisulphite sequencing and whole genome ... documentation is freely available (DMAP: as compressed TAR archive folder) from http://biochem.otago.ac.nz/research/databases-software/. ... three disease and three control samples for testing the operation of DMAP, especially...
  • Tweezercalib

  • Referenced in 2 articles [sw00987]
  • distribution of bead in harmonic trap. Data compression and noise reduction by blocking method applied ... Full accounting for aliasing caused by finite sampling rate (optional). Standard non-linear least-squares...