Results 31 to 40 of about 554,243 (265)

Proximal methods for point source localisation [PDF]

open access: yesJournal of Nonsmooth Analysis and Optimization, 2023
Point source localisation is generally modelled as a Lasso-type problem on measures. However, optimisation methods in non-Hilbert spaces, such as the space of Radon measures, are much less developed than in Hilbert spaces.
Tuomo Valkonen
doaj   +1 more source

The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2023
The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture   +3 more
doaj   +1 more source

Gaussian guided frame sequence encoder network for action quality assessment

open access: yesComplex & Intelligent Systems, 2022
Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strategy of model training, the performance of the
Ming-Zhe Li   +4 more
doaj   +1 more source

Inter-task association critic for cross-resolution person re-identification [PDF]

open access: yes, 2020
Person images captured by unconstrained surveillance cameras often have low resolutions (LR). This causes the resolution mismatch problem when matched against the high-resolution (HR) gallery images, negatively affecting the performance of person re ...
Cheng, Z   +4 more
core   +1 more source

UMAG-Net: A New Unsupervised Multiattention-Guided Network for Hyperspectral and Multispectral Image Fusion

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
To reconstruct images with high spatial resolution and high spectral resolution, one of the most common methods is to fuse a low-resolution hyperspectral image (HSI) with a high-resolution (HR) multispectral image (MSI) of the same scene.
Shuaiqi Liu   +5 more
doaj   +1 more source

UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal

open access: yesIEEE Access, 2023
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta   +6 more
doaj   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul   +13 more
wiley   +1 more source

DeepPose: Human Pose Estimation via Deep Neural Networks [PDF]

open access: yes, 2014
We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards body joints.
Szegedy, Christian, Toshev, Alexander
core   +3 more sources

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

open access: yesFEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas   +3 more
wiley   +1 more source

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

open access: yesRemote Sensing, 2018
The automatic classification of ships from aerial images is a considerable challenge. Previous works have usually applied image processing and computer vision techniques to extract meaningful features from visible spectrum images in order to use them as ...
Antonio-Javier Gallego   +2 more
doaj   +1 more source

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