• # CoSaMP

• Referenced in 228 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...
• # Ent

• Referenced in 9 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...
• # Gudhi

• Referenced in 38 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...
• # CLIIQ

• Referenced in 2 articles [sw34969]
• isoforms from multiple samples in a population. Motivated by ideas from compressed sensing literature, CLIIQ ... show through simulations that, on a single sample, CLIIQ provides better results in isoform identification...
• # infCS

• Referenced in 1 article [sw38874]
• guarantees for binary measurements and infinite-dimensional compressed sensing. The cww library from Antun ... Fourier setting and Generalized sampling and infinite-dimensional compressed sensing for details on the discretization...
• # 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...
• # EdgeCS

• Referenced in 12 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...
• # NeuralQAAD

• Referenced in 1 article [sw36367]
• differentiable point cloud compression framework that is fast, robust to sampling, and applicable to high ... only tractable training criterion for point cloud compression, the Chamfer distance, performances poorly for high...
• # Quikr

• Referenced in 1 article [sw34893]
• rapid reconstruction of bacterial communities via compressive sensing. Motivation: Many metagenomic studies compare hundreds ... thousands of environmental and health-related samples by extracting and sequencing their 16S rRNA amplicons ... sample using an optimization technique motivated from the mathematical theory of compressive sensing. On both...
• # Checkmark

• Referenced in 6 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...
• # TuckerMPI

• Referenced in 3 articles [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...
• # Comet

• Referenced in 2 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...
• # FLEXI

• Referenced in 8 articles [sw36412]
• source simulation tool chain for solving the compressible Navier-Stokes equations on CPU clusters ... open-source community. We close with sample applications that demonstrate the wide range...