Results 81 to 90 of about 1,446,341 (290)
On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
, 2008 There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but ...
Direkoglu, Cem +3 more
core +1 more source
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Texture Feature Extraction Methods: A Survey
IEEE Access, 2019 Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image ...
Anne Humeau-Heurtier
doaj +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
A method for identifying gully-type debris flows based on adaptive multi-scale feature extraction
Geomatics, Natural Hazards & RiskRapid and accurate identification of gully-type debris flows is vital for safeguarding lives and property in mountainous regions. To address the issues of inaccurate and insufficient gully feature extraction, we propose a dual-branch feature extraction ...
Qiuyu Liu +3 more
doaj +1 more source
Feature Level Fusion of Face and Fingerprint Biometrics [PDF]
, 2010 The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extracting independent feature pointsets from the two modalities, and making ...
Bicego, Manuele +3 more
core
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Application of Improved DNN Algorithm Based on Feature Fusion in Fine-Grained Image Recognition
IEEE AccessFine-grained image recognition is a research highlight in the computer vision. Compared with traditional image classification tasks, it places more emphasis on distinguishing objects with similar appearance features but belonging to different categories.
Jiongguang Zhu, Wei Zhang
doaj +1 more source
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features
, 2018 Due to the recent advances in the area of deep learning, it has been demonstrated that a deep neural network, trained on a huge amount of data, can recognize cardiac arrhythmias better than cardiologists.
Salem, Milad +2 more
core +1 more source
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source