Results 111 to 120 of about 693,698 (310)

Selection of Multi-Level Deep Features via Spearman Rank Correlation for Synthetic Aperture Radar Target Recognition Using Decision Fusion

open access: yesIEEE Access, 2020
Convolutional neural networks (CNN) now become one of the most popular methods in synthetic aperture radar (SAR) target recognition. To fully exploit the deep features learned by CNN, this paper considers all the feature maps from different convolution ...
Lijun Zhu
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Exploiting sublimated deep features for image retrieval

open access: yes
Deep learning techniques can be used to describe image content, which is a good way to reduce the semantic gap between low-level and high-level features.
Liu, Guang-Hai   +3 more
core   +1 more source

HDF: Hybrid deep features for scene image representation

open access: yes, 2020
HDF: Hybrid deep features for scene image ...
Xuequan Lu (2318185)   +4 more
core  

Deep feature response discriminative calibration

open access: yesNeurocomputing
Deep neural networks (DNNs) have numerous applications across various domains. Several optimization techniques, such as ResNet and SENet, have been proposed to improve model accuracy. These techniques improve the model performance by adjusting or calibrating feature responses according to a uniform standard.
Wenxiang Xu   +5 more
openaire   +2 more sources

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

open access: yesFEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

RGB-D Tracking Based on Kernelized Correlation Filter with Deep Features

open access: yes, 2017
© 2017, Springer International Publishing AG. This paper proposes a new RGB-D tracker which is upon Kernelized Correlation Filter(KCF) with deep features. KCF is a high-speed target tracker.
Shuang Gu   +7 more
core   +1 more source

Anxiety Recognition of College Students Using a Takagi-Sugeno-Kang Fuzzy System Modeling Method and Deep Features

open access: yesIEEE Access, 2020
College students are the most active, most sensitive, and most prone group with respect to various psychological problems in contemporary society. In recent years, with the intensification of social competition, including various pressures such as ...
Xiangmin Meng, Jie Zhang
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Unsupervised deep features for privacy image classification

open access: yes, 2019
Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful representation for images. However, deep features usually suffer from the issues of
Yong Xiang (13101027)   +3 more
core  

Home - About - Disclaimer - Privacy