Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleSeptember 2024
Tuning-free sparse clustering via alternating hard-thresholding
Journal of Multivariate Analysis (JMUL), Volume 203, Issue Chttps://doi.org/10.1016/j.jmva.2024.105330AbstractModel-based clustering is a commonly-used technique to partition heterogeneous data into homogeneous groups. When the analysis is to be conducted with a large number of features, analysts face simultaneous challenges in model interpretability, ...
- research-articleJuly 2024
Gaussian model for closed curves
Expert Systems with Applications: An International Journal (EXWA), Volume 249, Issue PBhttps://doi.org/10.1016/j.eswa.2024.123615AbstractIn the case of image processing or understanding, one of the common important tasks is to fit closed curves (e.g., circles, ellipses, etc.) to the underlying image. In higher-dimensional situations, the problem of modeling clusters as closed ...
Highlights- We propose a general framework for clustering using a closed curve.
- We present a novel density representation of the closed curve.
- Our model is able to describe complicated shapes.
- research-articleJuly 2024
Mitigating biases in long-tailed recognition via semantic-guided feature transfer
AbstractDealing with significant class imbalance poses a significant challenge in various real-world applications, particularly when the accurate classification and generalization of minority classes are of crucial. One key factor that results in model ...
- research-articleJuly 2024
Maximum a posteriori estimation and filtering algorithm for numerical label noise
Applied Intelligence (KLU-APIN), Volume 54, Issue 19Pages 8841–8855https://doi.org/10.1007/s10489-024-05648-yAbstractData quality, especially label quality, may have a significant impact on the prediction accuracy in supervised learning. Training on datasets with label noise causes a degradation in performance and a reduction in prediction accuracy. To overcome ...
- research-articleSeptember 2024
A simulation study of touch-free automatic alcohol-based handrub dispensers on hand hygiene disruption in healthcare settings
Computers and Industrial Engineering (CINE), Volume 193, Issue Chttps://doi.org/10.1016/j.cie.2024.110312Highlights- Sanitizer depletion is a major cause of failures in automatic sanitizer dispensers.
- Refill service alert can greatly reduce the chances of sanitizer depletion.
- The energy design of a sanitizer dispenser affects its hand hygiene ...
Automatic dispensers of alcohol-based handrub (ABHR) have been widely adopted in healthcare facilities to maintain hand hygiene (HH). A proper supply of energy and refill is crucial to ensure uninterrupted access to hand sanitizing and minimize ...
-
- research-articleJune 2024
- research-articleMay 2024
Distributed personalized imputation based on Gaussian mixture model for missing data
Neural Computing and Applications (NCAA), Volume 36, Issue 23Pages 14237–14250https://doi.org/10.1007/s00521-024-09803-xAbstractDistributed machine learning has received much attention for more than two decades. Yet, it is still a challenge to achieve acceptable performance in practical scenarios when some features of data samples are missing. Although some imputation ...
- research-articleJuly 2024
FractalRG: Advanced fractal region growing using Gaussian mixture models for left atrium segmentation
AbstractThis paper presents an advanced region growing method for precise left atrium (LA) segmentation and estimation of atrial wall thickness in CT/MRI scans. The method leverages a Gaussian mixture model (GMM) and fractal dimension (FD) analysis in a ...
- research-articleMarch 2024
Improving model choice in classification: an approach based on clustering of covariance matrices
AbstractThis work introduces a refinement of the Parsimonious Model for fitting a Gaussian Mixture. The improvement is based on the consideration of clusters of the involved covariance matrices according to a criterion, such as sharing Principal ...
- research-articleMarch 2024
Enhanced Gaussian-mixture-model-based nonlinear probabilistic uncertainty propagation using Gaussian splitting approach
Structural and Multidisciplinary Optimization (SPSMO), Volume 67, Issue 4https://doi.org/10.1007/s00158-023-03733-3AbstractPractical engineering problems often involve stochastic uncertainty, which can cause substantial variations in the response of engineering products or even lead to failure. The coupling and propagation of uncertainty play a crucial role in this ...
- research-articleJuly 2024
A semi-supervised framework for computational fluid dynamics prediction
AbstractData-driven deep learning approach heavily relies on the diversity and quantity of data. Acquiring data in the computational fluid dynamics (CFD) domain is a time and computationally intensive process. This paper proposes a semi-supervised ...
Highlights- A semi-supervised learning-based DRF method is proposed.
- DRF employs the memory properties of the network to improve generalizability.
- DRF significantly reduces the time required to acquire datasets by 70%.
- research-articleFebruary 2024
Graph signal interpolation and extrapolation over manifold of Gaussian mixture
AbstractSignals with an underlying irregular geometric structure are prevalent in modern applications and are often well-represented using graphs. The field of graph signal processing has emerged to accommodate such signals’ analysis, processing, and ...
Highlights- We present an efficient algorithm for graph signal interpolation and extrapolation.
- The algorithm is based on a continuous model of sampled functions over a manifold.
- A Gaussian mixture and the Gaussian kernel eigenfunctions are ...
- research-articleFebruary 2024
Transfer reinforcement learning for multi‐agent pursuit‐evasion differential game with obstacles in a continuous environment
AbstractIn this paper, we study the multi‐pursuer single‐evader pursuit‐evasion (MSPE) differential game in a continuous environment with the consideration of obstacles. We propose a novel pursuit‐evasion algorithm based on reinforcement learning and ...
- research-articleJuly 2024
GMM-ICQ: A GMM vertex-optimization-based implicitly-connected quadrilateral format for 3D mesh storage
Computers and Graphics (CGRS), Volume 118, Issue CPages 34–47https://doi.org/10.1016/j.cag.2023.11.003Abstract3D meshes are commonly utilized and may be considered to be the most popular surface representation in computer graphics due to their simplicity, efficiency and flexibility. However, the explicit storage of mesh vertices and connectivity, as in ...
Graphical abstractDisplay Omitted
Highlights- We present a GMM vertex-optimization-based implicitly-connected quadrilateral format for 3D mesh storage.
- Simultaneously balances accuracy, efficiency, memory usage, and mesh quality.
- Preserves the simplicity of explicit storage (...
- research-articleApril 2024
An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields
Computers in Biology and Medicine (CBIM), Volume 169, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.107872Abstract Background:Despite knowledge of qualitative changes that occur on ultrasound in tendinopathy, there is currently no objective and reliable means to quantify the severity or prognosis of tendinopathy on ultrasound.
Objective:The primary ...
Highlights
- There is no gold standard quantitative method for tendon image analysis on US.
- Reliable tendon image segmentation methods are required to understand disease topology and quantify intervention response.
- We implement a statistical ...
- research-articleMarch 2024
A new unsupervised health index estimation method for bearings early fault detection based on Gaussian mixture model
Engineering Applications of Artificial Intelligence (EAAI), Volume 128, Issue Chttps://doi.org/10.1016/j.engappai.2023.107562AbstractBearings are indispensable components of machinery, playing a critical role in effective health monitoring. This monitoring is vital in detecting equipment incipient failure and reducing maintenance costs. The bearing degradation is a complex ...
- research-articleJuly 2024
Predictive Maintenance System for Wafer Transfer Robot Using Gaussian Mixture Model and Mean-Shift Clustering
Procedia Computer Science (PROCS), Volume 237, Issue CPages 453–460https://doi.org/10.1016/j.procs.2024.05.127AbstractEquipment maintenance is the technology of monitoring the condition of equipment and predicting the error of the equipment. As an interest in equipment maintenance increases, many studies are being conducted on methods for minimizing economic ...
- research-articleApril 2024
An online learning behaviour recognition method based on tag set correlation learning
International Journal of Biometrics (IJOB), Volume 16, Issue 3-4Pages 350–363https://doi.org/10.1504/ijbm.2024.138232Aiming at the problems of poor fitting degree of loss function and low confidence of behaviour recognition in online learning behaviour recognition, an online learning behaviour recognition method based on tag set correlation learning is proposed. ...
- research-articleFebruary 2024
Joint unsupervised contrastive learning and robust GMM for text clustering
Information Processing and Management: an International Journal (IPRM), Volume 61, Issue 1https://doi.org/10.1016/j.ipm.2023.103529AbstractText clustering aims to organize a vast collection of documents into meaningful and coherent clusters, thereby facilitating the extraction of valuable insights. While current frameworks for text clustering try to minimize the anisotropy of pre-...
- research-articleJanuary 2024
Arabic offline writer identification on a new version of AHTID/MW database
International Journal of Biometrics (IJOB), Volume 16, Issue 1Pages 1–15https://doi.org/10.1504/ijbm.2024.135164Handwriting is considered to be one of the commonly used biometric modalities to verify and identify persons in commercial, governmental and forensic applications. In order to test and compare the accuracy of a computer vision system, in general, and a ...