Results 101 to 110 of about 19,436 (200)

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

open access: yes, 2014
We present techniques for speeding up the test-time evaluation of large convolutional networks, designed for object recognition tasks. These models deliver impressive accuracy but each image evaluation requires millions of floating point operations ...
Bruna, Joan   +4 more
core  

Lower serum uric acid and impairment of right cerebral hemisphere structural brain networks are related to depressive symptoms in cerebral small vessel disease: A cross-sectional study

open access: yesHeliyon
Cerebral small vessel disease (SVD) may be associated with an increased risk of depressive symptoms. Serum uric acid (SUA), an antioxidant, may be involved in the occurrence and development of depressive symptoms, but the mechanism remains unknown ...
Lei Yu   +21 more
doaj   +1 more source

Handling the Non-smooth Challenge in Tensor SVD: A Multi-objective Tensor Recovery Framework

open access: yes
Recently, numerous tensor singular value decomposition (t-SVD)-based tensor recovery methods have shown promise in processing visual data, such as color images and videos. However, these methods often suffer from severe performance degradation when confronted with tensor data exhibiting non-smooth changes.
Jingjing Zheng   +5 more
openaire   +2 more sources

Immune regulation and blood–brain barrier permeability in cerebral small vessel disease: study protocol of the INflammation and Small Vessel Disease (INSVD) study – a multicentre prospective cohort study

open access: yesBMJ Open
Introduction The INflammation and Small Vessel Disease (INSVD) study aims to investigate whether peripheral inflammation, immune (dys)regulation and blood–brain barrier (BBB) permeability relate to disease progression in cerebral small vessel disease ...
Roy P C Kessels   +14 more
doaj   +1 more source

Randomized block Krylov method for approximation of truncated tensor SVD

open access: yes
This paper is devoted to studying the application of the block Krylov subspace method for approximation of the truncated tensor SVD (T-SVD). The theoretical results of the proposed randomized approach are presented. Several experimental experiments using synthetics and real-world data are conducted to verify the efficiency and feasibility of the ...
Kooshkghazi, Malihe Nobakht   +2 more
openaire   +2 more sources

Jacobi-type method for the SVD-like tensor decomposition

open access: yes, 2021
For a general third-order tensor A we are looking for its SVD-like decomposition.
openaire   +2 more sources

A Hypercomplex Tensor-SVD and Its Application

open access: yesA Hypercomplex Tensor-SVD and Its Application
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study. [PDF]

open access: yesProc Natl Acad Sci U S A
Zhu Z   +23 more
europepmc   +1 more source

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