Results 41 to 50 of about 325,176 (282)

Dynamic Adaptive Iterative Generative Adversarial Network for Hyperspectral Image Classification With Class Imbalance

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Small-sample learning improves the problem of limited labeled samples in hyperspectral image (HSI) classification to a greater extent, but still suffers from the severe problem of class imbalance, where minority classes are poorly learned and classified,
Ke Li   +5 more
doaj   +1 more source

Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification

open access: yesRemote Sensing, 2021
For both traditional classification and current popular deep learning methods, the limited sample classification problem is very challenging, and the lack of samples is an important factor affecting the classification performance.
Wenning Wang, Xuebin Liu, Xuanqin Mou
doaj   +1 more source

The Impact of Experiential Augmented Reality Applications on Fashion Purchase Intention [PDF]

open access: yes, 2018
Utilizing the stimulus-organism-response (SOR) model, the purpose of this study is to examine the effects of augmented reality (AR) (specifically augmentation) on consumers’ affective and behavioral response and to assess whether consumers’ hedonic ...
Alexander, Bethan   +2 more
core   +3 more sources

Side-Scan Sonar Image Augmentation Method Based on CC-WGAN

open access: yesApplied Sciences
The utilization of deep learning algorithms for side-scan sonar target detection is impeded by the restricted quantity and representativeness of side-scan sonar (SSS) samples.
Junhui Zhu   +4 more
doaj   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

open access: yesFEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga   +3 more
wiley   +1 more source

Fast Augmenting Paths by Random Sampling from Residual Graphs [PDF]

open access: yesSIAM Journal on Computing, 2015
Summary: Consider an \(n\)-vertex, \(m\)-edge, undirected graph with integral capacities and max-flow value \(v\). We give a new \(\tilde{O}(m + nv)\)-time maximum flow algorithm. After assigning certain special sampling probabilities to edges in \(\tilde{O}(m)\) time, our algorithm is very simple: repeatedly find an augmenting path in a random sample ...
Karger, David R., Levine, Matthew S.
openaire   +2 more sources

Sampling rare event energy landscapes via birth-death augmented dynamics

open access: yesPhysical Review E, 2023
17 pages, 5 ...
Benjamin Pampel   +3 more
openaire   +4 more sources

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon   +13 more
wiley   +1 more source

Extended Subspace Projection Upon Sample Augmentation Based on Global Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Band redundancy and limitation of labeled samples restrict the development of hyperspectral image classification (HSIC) greatly. To address the earlier issues, the classification models such as subspace-based support vector machines, which have gained a ...
Jiaochan Hu   +5 more
doaj   +1 more source

Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks

open access: yes, 2017
We present a convolutional neural network (CNN) based solution for modeling physically plausible spatially varying surface reflectance functions (SVBRDF) from a single photograph of a planar material sample under unknown natural illumination. Gathering a
Dong, Yue   +3 more
core   +1 more source

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