Bandwidth Detection of Graph Signals with a Small Sample Size [PDF]
Sensors, 2020 Bandwidth is the crucial knowledge to sampling, reconstruction or estimation of the graph signal (GS). However, it is typically unknown in practice. In this paper, we focus on detecting the bandwidth of bandlimited GS with a small sample size, where the ...
Xuan Xie, Hui Feng, Bo Hu
doaj +5 more sources
Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size [PDF]
Frontiers in Physiology, 2022 The manual identification and segmentation of intracranial aneurysms (IAs) involved in the 3D reconstruction procedure are labor-intensive and prone to human errors.
Guangyu Zhu +7 more
doaj +2 more sources
A nextflow pipeline for molecular quantitative trait loci mapping in small sample size datasets with an application in Atlantic salmon [PDF]
BMC GenomicsBackground Molecular quantitative trait loci (molQTL) mapping, particularly for gene expression and chromatin accessibility, provides crucial insights into the regulatory and functional potential of genetic variation.
Dat Thanh Nguyen +3 more
doaj +2 more sources
A Novel Approach to Surface Roughness Virtual Sample Generation to Address the Small Sample Size Problem in Ultra-Precision Machining [PDF]
SensorsSurface roughness is one of the main bases for measuring the surface quality of machined parts. A large amount of training data can effectively improve model prediction accuracy.
Ruilin Liu, Wenwen Tian
doaj +2 more sources
Why is a small sample size not enough? [PDF]
OncologistAbstract Background Clinical studies are often limited by resources available, which results in constraints on sample size. We use simulated data to illustrate study implications when the sample size is too small.
Cao Y, Chen RC, Katz AJ.
europepmc +3 more sources
Filtering High-Dimensional Methylation Marks With Extremely Small Sample Size: An Application to Gastric Cancer Data [PDF]
Frontiers in Genetics, 2021 DNA methylations in critical regions are highly involved in cancer pathogenesis and drug response. However, to identify causal methylations out of a large number of potential polymorphic DNA methylation sites is challenging.
Xin Chen +6 more
doaj +2 more sources
Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks [PDF]
Sensors, 2014 Multi-camera networks have gained great interest in video-based surveillance systems for security monitoring, access control, etc. Person re-identification is an essential and challenging task in multi-camera networks, which aims to determine if a given ...
Cuicui Zhang +2 more
doaj +2 more sources
Regularized Exploratory Bifactor Analysis With Small Sample Sizes [PDF]
Frontiers in Psychology, 2020 Several methods of factor extraction have recently gained popularity as a procedure for dealing with estimation problems associated with small sample sizes, which can be found in the various behavioral science disciplines, such as comparative psychology ...
Sunho Jung, Dong Gi Seo, Jungkyu Park
doaj +3 more sources
Exponential Multi-Modal Discriminant Feature Fusion for Small Sample Size
IEEE Access, 2022 Multi-modal Canonical Correlation Analysis (MCCA) is an important information fusion method, and some discriminant variations of MCCA have been proposed.
Yanmin Zhu, Tianhao Peng, Shuzhi Su
doaj +1 more source
Trend Feature Consistency Guided Deep Learning Method for Minor Fault Diagnosis
Entropy, 2023 Deep learning can be applied in the field of fault diagnosis without an accurate mechanism model. However, the accurate diagnosis of minor faults using deep learning is limited by the training sample size.
Pengpeng Jia +3 more
doaj +1 more source