Results 101 to 110 of about 6,822 (240)

Low-Power Lossless Data Compression for Wireless Brain Electrophysiology. [PDF]

Sensors (Basel), 2022
Cuevas-López A, Pérez-Montoyo E, López-Madrona VJ, Canals S, Moratal D.   +4 more
europepmc   +1 more source

Noisy Graph Patterns via Ordered Matrices

Computer Graphics Forum, EarlyView.
Abstract The high‐level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard.
J. Wulms, W. Meulemans, B. Speckmann
wiley   +1 more source

The Sample Complexity of Lossless Data Compression

CoRR
A new framework is introduced for examining and evaluating the fundamental limits of lossless data compression, that emphasizes genuinely non-asymptotic results. The {\em sample complexity} of compressing a given source is defined as the smallest blocklength at which it is possible to compress that source at a specifically constrained rate and to ...
Terence Viaud, Ioannis Kontoyiannis
openaire   +2 more sources

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist‐driven case study

Journal of Microscopy, EarlyView.
Abstract As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dynamics using structured, community‐developed checklists from the Quality Assessment and Reproducibility for Instruments and Images in Light Microscopy (QUAREP‐LiMi) initiative.
Martin Schätz, Ko Sugawara
wiley   +1 more source

Adaptive text mining: Inferring structure from sequences

, 2004
Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
core   +1 more source

The MacBrain Resource Center (MBRC) rhesus macaque embryonic brain histology datasets

Journal of Anatomy, EarlyView.
We introduce the MacBrain Resource Center (MBRC) Collections of rhesus macaque embryonic brain tissue. Here, we illustrate histo‐ and immunohistology from our dynamically growing Collection 6, which currently contains >10,000 zoomable and downloadable images from n = 14 male and female embryos from early to late in gestation.
Valeria Mendoza‐Silva, Emma Burke, Lucy Greene, Mikhail Rodov, Janja Kopić, Phil Barello, Yury M. Morozov, Keiko Moriya‐Ito, Chiaki Ohtaka‐Maruyama, Zeljka Krsnik, Pasko Rakic, Alvaro Duque   +11 more
wiley   +1 more source

A Comprehensive Review on Hyperspectral Image Lossless Compression Algorithms

Remote Sensing
The rapid advancement of imaging sensors and optical filters has significantly increased the number of spectral bands captured in hyperspectral images, leading to a substantial rise in data volume.
Shumin Liu, Fahad Saeed, Zhenghui Yang, Jie Chen   +3 more
doaj   +1 more source

Resolving Isomeric Structures in Natural Complex Carbohydrates: A Comparative Study of SLIM and Cyclic Ion Mobility Platforms

Rapid Communications in Mass Spectrometry, Volume 40, Issue 15, 15 August 2026.
ABSTRACT Rationale Recent advances in ion mobility mass spectrometry (IMS) have led to the development of high‐resolution platforms such as cyclic IMS and SLIM IMS (structures for lossless ion manipulations), both offering enhanced capabilities for resolving complex biomolecular conformations.
Rania Benazza, Christopher P. Harrilal, Yehia M. Ibrahim, Mathieu Fanuel, David Ropartz, Hélène Rogniaux   +5 more
wiley   +1 more source

The New CCSDS Standard for Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression

, 2018
This paper describes the emerging Issue 2 of the CCSDS-123.0-B standard for low-complexity compression of multispectral and hyperspectral imagery, focusing on its new features and capabilities.
Moury, Gilles, Martin Gilbert, Burl, Michael, Sundlie, Brenton, Gilbert, Martin, Ian Blanes, Alan Schaar, Keymeulen, Didier, Michael Cheng, Thang Pham, Huy Luong, Le, Martin, Hamid Ghassemi, Pham, Thang, Raffaele Vitulli, Schaar, Alan, Greg Flesch, Dolinar, Sam, Plintovic, Martin, Joan Serra-Sagristà, Wong, Englin, Sam Dolinar, Brenton Sundlie, Santos, Lucana, Michael Burl, Enrico Magli, Hanying Zhou, Hernández-Cabronero, Miguel, Wu, William, Serra-Sagrist, Joan, Gilles Moury, Lucana Santos, Roberto Camarero, David Dolman, Xie, Hua, Flesch, Greg, William Wu, Matthew Klimesh, Simon Shin, Christopher McGuinness, Magli, Enrico, Aranki, Nazeeh, Englin Wong, Jonathan Ligo, Frederic Sala, Luong, Huy, Cheng, Michael, Sala, Frederic, Martin Plintovic, Ligo, Jonathan, Vitulli, Raffaele, McGuinness, Christopher, Camarero, Roberto, Klimesh, Matthew, Martin Le, Hua Xie, Nazeeh Aranki, Diego Valsesia, Kiely, Aaron B., Blanes, Ian, Shin, Simon, Ghassemi, Hamid, Valsesia, Diego, Miguel Hernández-Cabronero, Dolman, David, Didier Keymeulen, Zhou, Hanying, Aaron Kiely   +67 more
core   +1 more source

Lossless data compression studies for the geostationary imaging Fourier transform spectrometer (GIFTS) with the bias-adjusted reordering preprocessing

, 2007
The NASA Geostationary Imaging Fourier Transform Spectrometer (GIFTS) represents a revolutionary step in remote sensing of Earth's atmosphere that will demonstrate the technology and measurement concepts for future NOAA geostationary operational ...
Huang, Bormin; Wei, Shih-chieh; Huang, Allen H.-L.; Smuga-Otto, Maciek; Knuteson, Robert; Revercomb, Henry E.; Smith, William L., Robert Knuteson, Maciek Smuga-Otto, Bormin Huang, William L. Smith, Sr., Henry E. Revercomb, Allen H.-L. Huang, Shih-Chieh Wei   +7 more
core   +1 more source