A sparse image is a type of disk image file used on macOS that grows in size as the user adds data to the image, taking up only as much disk space as...

property, which is sufficient for sparse signals. Compressed sensing has applications in, for example, magnetic resonance imaging (MRI) where the incoherence...

2016). "Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images". IEEE Transactions on Medical Imaging. 35 (1): 119–130...

specify a single large image (dzi) or a collection of images (dzc). It also allows for "Sparse Images"; where some parts of the image have greater resolution...

Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims to find a sparse representation of the...

A sparse ruler is a ruler in which some of the distance marks may be missing. More abstractly, a sparse ruler of length L {\displaystyle L} with m {\displaystyle...

supports them. Sparse files are commonly used for disk images, database snapshots, log files and in scientific applications. The advantage of sparse files is...

Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations. Techniques for finding...

mounting on Linux. It supports UDIF and HFS/HFS+. cloop DiskImageMounter Installer (macOS) Sparse image "hdiutil(1) Mac OS X Manual Page". Archived from the...

gamma sensitivity and quadripolar Relaxation (NMR). Deuterium imaging however has a sparse chemical shift spectra making it possible to develop tailored...

field of photogrammetry. This led to methods for sparse 3-D reconstructions of scenes from multiple images. Progress was made on the dense stereo correspondence...

digital images. For black-and-white or grayscale images, it presents as sparsely occurring white and black pixels, giving the appearance of an image sprinkled...

single file. A flat image allocates space ahead of time while a sparse image grows as the virtual machine writes to it. Flat images can use the underlying...

directory, not the startup volume. The operating system uses an encrypted sparse disk image (a large single file) to present a volume for the home directory....

folder on the designated Time Machine volume (local or inside a remote sparse image) into which it copies the directory tree of all locally attached storage...

Simple Sparse Bundle Adjustment package based on the Levenberg–Marquardt Algorithm (C++). LGPL. OpenCV: Computer Vision library in the Images stitching...

measurement noise, data sparsity, image artifacts, and computational inefficiency. This approach has been applied across various imaging modalities, including...

countries had begun to restrict internet access. Rotten.com had a sparse layout; no thumbnail images were present next to links, and the links had one-line descriptions...

Learned sparse retrieval or sparse neural search is an approach to Information Retrieval which uses a sparse vector representation of queries and documents...

even virtual k-space data is the Fourier transform of the underlying sparse image. It is based on the principle that Ghost Nyquists are produced due to...

Reconstruction Technique iterative Sparse Asymptotic Minimum Variance Herman, G. T., Fundamentals of computerized tomography: Image reconstruction from projection...

Checkerboard rendering or sparse rendering, also known as checkerboarding for short, is a 3D computer graphics rendering technique, intended primarily...

such data, images (rendered through traditional non-learned methods) and respective camera poses are reproducible and error-free. For each sparse viewpoint...

Super-resolution imaging (SR) is a class of techniques that improve the resolution of an imaging system. In optical SR the diffraction limit of systems...

Segmentation from Sparse Annotation; TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation. Image-to-image translation to estimate...

allocate the whole image space to a file, even if parts of it are empty. This is particularly useful for file systems that do not support sparse files, such...

radar (ISAR) is a radar technique using radar imaging to generate a two-dimensional high resolution image of a target. It is analogous to conventional...

parameters will be imaged in silico based on the integration of observable but sometimes sparse and inconsistent multimodal images and physiological measurements...

many signal and image processing usage. (e.g., Laplacian pyramid, constructed the contourlets, sparse image representation, medical imaging, etc.). Directional...

computers, information is massively distributed across neurons. Sparse coding of natural images produces wavelet-like oriented filters that resemble the receptive...