Results 91 to 100 of about 3,041 (214)

Rare vasculitis types and obstetric and neonatal outcomes – A population‐based study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Vasculitis is an infrequent pathology among reproductive‐aged women. While data exists regarding pregnancy outcomes in the more common vasculitis subtypes, data is limited regarding these outcomes in rare vasculitis subtypes. We aimed to compare pregnancy and perinatal outcomes between women who suffered from rare types of vasculitis
Uri Amikam, Ahmad Badeghiesh, Haitham Baghlaf, Richard Brown, Michael H. Dahan   +4 more
wiley   +1 more source

AA-SVD : Anchored and Adaptive SVD for Large Language Model Compression

CoRR
We introduce a fast low-rank factorization-based framework for compressing large language models that enables rapid compression of billion-parameter models without retraining. Unlike existing factorization-based approaches that optimize only on the original inputs, ignoring distribution shifts from upstream compression and thus propagating errors ...
Atul Kumar Sinha, François Fleuret
openaire   +2 more sources

SVD-matching using SIFT features

Graphical Models, 2006
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a version of the SVD-matching proposed by Scott and Longuet-Higgins and later modified by Pilu, that we elaborate in order to cope with large scale variations.
DELPONTE E, ISGRO' F, ODONE, FRANCESCA, VERRI, ALESSANDRO   +3 more
openaire   +5 more sources

A NEW NESTED HYBRID DWT-HD-SVD WATERMARKING SCHEME FOR DIGITAL IMAGES

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Digital watermarking encrypts private information with the original data to protect the ownership rights of the digital asset. This paper suggests a brand-new nested watermarking technique (two-level watermarking technique) to protect copyrights of ...
Sara R. Qasim, Maryam KALIFA ABBOUD, Eman Hassony Jaddoua   +2 more
doaj  

Free‐Breathing 3D Whole Heart and Aorta Cine MRI Without Contrast Agent—Comparison to Clinical Standard

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The demand for cardiac MRI is increasing with the growing burden of cardiovascular disease. However, conventional protocols require sequential acquisitions for multi‐breath‐hold 2D cine and 3D MR angiography (MRA), which is time‐consuming.
Ruixin Chen, Huangling Lu, Alexandru Cernicanu, Jos Westenberg, Merlijn Sevenster, Jochen Keupp, Jakob Meineke, Hildo J. Lamb   +7 more
wiley   +1 more source

An accurate product SVD algorithm

Signal Processing, 1991
A new algorithm is presented to compute the singular value decomposition of a product of 3 matrices, without explicitly forming the product. The method is based on a preliminary reduction of all three matrices to upper triangular form, followed by a product Jacobi-SVD algorithm. An error analysis and a proof of numerical stability, as well as numerical
Adam W. Bojanczyk, Lars-Magnus Ewerbring, Franklin T. Luk, Paul Van Dooren   +3 more
openaire   +1 more source

Common‐Mode Rejection Shifted‐Excitation Raman Difference Spectroscopy (CMR‐SERDS) Preserves Broad Structure Predictive of Soil Organic Carbon

Journal of Raman Spectroscopy, EarlyView.
Common‐mode rejection (CMR) is introduced as a physics‐motivated preprocessing method for shifted excitation Raman difference spectroscopy (SERDS) that removes the shared background of paired measurements while preserving the noncommon excitation‐dependent component. Applied to more than 900 North American soil samples, CMR improves soil organic carbon
Mahsa Zarei, Miayan Larose, Natalia V. Solomatova, Sadegh Shokatian, Edward Grant   +4 more
wiley   +1 more source

On the Noise Sensitivity of the Randomized SVD

IEEE Transactions on Information Theory
The randomized singular value decomposition (R-SVD) is a popular sketching-based algorithm for efficiently computing the partial SVD of a large matrix. When the matrix is low-rank, the R-SVD produces its partial SVD exactly; but when the rank is large, it only yields an approximation.
openaire   +2 more sources

Co‐ and Multi‐Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review

Movement Disorders, EarlyView.
Abstract Parkinson's disease (PD) has been historically defined as a disease of striatal dopamine deficiency secondary to degeneration of dopaminergic neurons in the substantia nigra pars compacta, related to the presence of Lewy bodies and Lewy neurites.
Michele Matarazzo, Per Borghammer, Inas Elsayed, Jennifer G. Goldman, Yue Huang, Katja Lohmann, Per Svenningsson, Lorraine V. Kalia, Daniela Berg, Jeffrey H. Kordower, the MDS Scientific Issues Committee   +10 more
wiley   +1 more source

A Magnetic Resonance Fingerprinting Approach for Simultaneous T1$$ {T}_1 $$‐ and PRFS‐Based 3D MR‐Thermometry

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1$$ {T}_1 $$ thermometry during microwave ablation with T1$$ {T}_1 $$ improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere ...
Moritz Gutt, Dominik Horstmann, Othmar Belker, Simon Schröer, Daniel Düx, Frank Wacker, Marcel Gutberlet, Bennet Hensen   +7 more
wiley   +1 more source