Results 61 to 70 of about 17,118 (185)
Earth and Space Science, Volume 13, Issue 5, May 2026.Abstract This article reports on the initial calibration and performance of the High‐resolution Volatiles and Minerals Moon Mapper (HVM3 ${\mathrm{H}\mathrm{V}\mathrm{M}}^{3}$), slated for launch on the National Aeronautics and Space Administration's Lunar Trailblazer mission.
David R. Thompson +38 more
wiley +1 more source
Joint Posterior Probability Active Learning for Hyperspectral Image Classification
Remote Sensing, 2023 Active learning (AL) is an approach that can reduce the dependence on the labeled set significantly. However, most current active-learning methods are only concerned with the first two columns of the posterior probability matrix during the sampling phase.
Shuying Li, Shaowei Wang, Qiang Li
doaj +1 more source
Factorizing Probabilistic Graphical Models Using Co-occurrence Rate [PDF]
, 2011 Factorization is of fundamental importance in the area of Probabilistic Graphical Models (PGMs). In this paper, we theoretically develop a novel mathematical concept, \textbf{C}o-occurrence \textbf{R}ate (CR), for factorizing PGMs.
Zhu, Zhemin
core +2 more sources
WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab Protocols [PDF]
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020 The paper describes how classifier model built using Conditional Random Field detects named entities in wet lab protocols.
openaire +1 more source
Clinical &Experimental Allergy, Volume 56, Issue 5, Page 526-537, May 2026.Adherence to e‐Diary reporting was investigated in a blended care setting among pollen allergic patients with heterogeneous cultural backgrounds. A stable ‘higher’ and a more variable ‘lower’ adherence cluster were identified. Early identification of lower adherence is possible and might inform early interventions to improve patient adherence. ABSTRACT
S. Dramburg +55 more
wiley +1 more source
Deep Randomly-Connected Conditional Random Fields For Image Segmentation
IEEE Access, 2017 The use of Markov random fields (MRFs) is a common approach for performing image segmentation, where the problem is modeled using MRFs that incorporate priors on neighborhood nodes to allow for efficient Maximum a Posteriori inference.
Mohammad Javad Shafiee +2 more
doaj +1 more source
CONTEXTUAL CLASSIFICATION OF POINT CLOUDS USING A TWO-STAGE CRF [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF).
J. Niemeyer +3 more
doaj +1 more source
Conservation Science and Practice, Volume 8, Issue 5, May 2026.We assessed the effectiveness of Wildlife Recovery Centers by comparing dispersal behavior of rehabilitated and wild Spanish imperial eagles using GPS tracking. Rehabilitated individuals initially moved shorter distances, rested more, and hunted less than wild controls, but these differences declined over time and ultimately disappeared.
Unai Ormazabal‐Santa Cruz +8 more
wiley +1 more source
Advanced Science, Volume 13, Issue 21, 13 April 2026.In ankylosing spondylitis (AS), mechanical strain‐programmed SDC1+ sheath fibroblasts secrete CXCL5 to recruit neutrophils and promote the activation of CXCR4hi neutrophils, thereby exacerbating enthesitis by promoting neutrophil extracellular traps (NETs) formation. SOX5 controls the generation of SDC1+ sheath fibroblasts via super‐enhancers.
Jiajie Lin +13 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source