Cargando…

Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method

In law enforcement investigation cases, sex determination from skull morphology is one of the important steps in establishing the identity of an individual from unidentified human skeleton. To our knowledge, existing studies of sex determination of the skull mostly utilize supervised learning method...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gao, Hongjuan, Geng, Guohua, Yang, Wen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036851/ https://www.ncbi.nlm.nih.gov/pubmed/30046351 http://dx.doi.org/10.1155/2018/4567267

Ejemplares similares

Approach for 3D Cultural Relic Classification Based on a Low-Dimensional Descriptor and Unsupervised Learning
por: Gao, Hongjuan, et al.
Publicado: (2020)

Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network
por: Yang, Wen, et al.
Publicado: (2019)

Skull Sex Estimation Based on Wavelet Transform and Fourier Transform
por: Yang, Wen, et al.
Publicado: (2020)

An Unsupervised Learning-Based Multi-Organ Registration Method for 3D Abdominal CT Images
por: Yang, Shaodi, et al.
Publicado: (2021)

Automatic Sex Determination of Skulls Based on a Statistical Shape Model
por: Luo, Li, et al.
Publicado: (2013)

Unsupervised Learning Methods for Molecular Simulation Data
por: Glielmo, Aldo, et al.
Publicado: (2021)

Performance determinants of unsupervised clustering methods for microbiome data
por: Shi, Yushu, et al.
Publicado: (2022)

ANINet: a deep neural network for skull ancestry estimation
por: Pengyue, Lin, et al.
Publicado: (2021)

A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods
por: Fidan, Huseyin, et al.
Publicado: (2022)

A Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG) Pattern Recognition
por: Huang, Qi, et al.
Publicado: (2017)

An unsupervised machine learning method for assessing quality of tandem mass spectra
por: Lin, Wenjun, et al.
Publicado: (2012)

Evaluation of MRI Denoising Methods Using Unsupervised Learning
por: Moreno López, Marc, et al.
Publicado: (2021)

The Unsupervised Learning Workshop
por: Jones, Aaron
Publicado: (2020)

Unsupervised learning algorithms
por: Celebi, M, et al.
Publicado: (2016)

Social behavioral profiling by unsupervised deep learning reveals a stimulative effect of dopamine D3 agonists on zebrafish sociality
por: Geng, Yijie, et al.
Publicado: (2023)

Unsupervised-learning-based method for chest MRI–CT transformation using structure constrained unsupervised generative attention networks
por: Matsuo, Hidetoshi, et al.
Publicado: (2022)

Semi-supervised and unsupervised machine learning: novel strategies
por: Albalate, Amparo, et al.
Publicado: (2011)

Unsupervised learning : foundations of neural computation /
Publicado: (1999)

Sex Determination Using Inion-Opistocranium-Asterion (IOA) Triangle in Nigerians' Skulls
por: Orish, C. N., et al.
Publicado: (2014)

Sex Determination in Japanese Quails (Coturnix japonica) Using Geometric Morphometrics of the Skull
por: Szara, Tomasz, et al.
Publicado: (2022)

A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts
por: Wang, Runqiong, et al.
Publicado: (2021)

A novel geometry image to accurately represent a surface by preserving mesh topology
por: Zeng, Sheng, et al.
Publicado: (2021)

An unsupervised style normalization method for cytopathology images
por: Chen, Xihao, et al.
Publicado: (2021)

Unsupervised process monitoring and fault diagnosis with machine learning methods
por: Aldrich, Chris, et al.
Publicado: (2013)

Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition
por: Takenaka, Koki, et al.
Publicado: (2023)

Artificial intelligence-based forensic sex determination of East Asian cadavers from skull morphology
por: Kondou, Hiroki, et al.
Publicado: (2023)

Generalized Pose Decoupled Network for Unsupervised 3D Skeleton Sequence-Based Action Representation Learning
por: Liu, Mengyuan, et al.
Publicado: (2022)

Natural computing for unsupervised learning
por: Li, Xiangtao, et al.
Publicado: (2018)

A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images
por: Gao, Han, et al.
Publicado: (2017)

Application of Unsupervised Migration Method Based on Deep Learning Model in Basketball Training
por: Sun, Hui, et al.
Publicado: (2022)

Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning
por: Zheng, Yongnan, et al.
Publicado: (2021)

Unsupervised determination of protein crystal structures
por: Ufimtsev, Ivan S., et al.
Publicado: (2019)

NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer
por: Hu, Xiaobo, et al.
Publicado: (2022)

Elucidating ecological complexity: Unsupervised learning determines global marine eco-provinces
por: Sonnewald, Maike, et al.
Publicado: (2020)

Novel Phenotyping for Acute Heart Failure—Unsupervised Machine Learning-Based Approach
por: Urban, Szymon, et al.
Publicado: (2022)

Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods
por: Zimmering, Bernd, et al.
Publicado: (2021)

Exploring Unsupervised Machine Learning Classification Methods for Physiological Stress Detection
por: Iqbal, Talha, et al.
Publicado: (2022)

Drug-likeness scoring based on unsupervised learning
por: Lee, Kyunghoon, et al.
Publicado: (2021)

Unsupervised learning is crucial to learning the names of objects
por: Lillicrap, Timothy P, et al.
Publicado: (2007)

A classification method of stress in plants using unsupervised learning algorithm and chlorophyll fluorescence technology
por: Lu, Miao, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_e4fu0gtbn7d83urbvdo4r6q90p