AIMC Topic: Principal Component Analysis
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Prediction of Lumbar Disc Herniation Patients' Satisfaction with the Aid of an Artificial Neural Network.
Turkish neurosurgery
Jan 1, 2016
AIM: To identify key determinants of lumbar disc herniation (LDH) patients' satisfaction and to evaluate the efficiency of an artificial neural network (ANN) model to prognosticate satisfaction derived from the hospital stay in this specific patient ...
[HPLC combined with PCA technology for analysis of five gingerol compounds in different processing degrees of ginger charcoal].
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
Nov 1, 2015
To establish a new method for simultaneously determining the content of five gingerol compounds in different processing degrees of ginger charcoal and PCA principal component analysis was conducted for analysis. Samples were analyzed on Ultimate TM X...
Discrimination of Maize Haploid Seeds from Hybrid Seeds Using Vis Spectroscopy and Support Vector Machine Method.
Guang pu xue yu guang pu fen xi = Guang pu
Nov 1, 2015
Doubled haploid (DH) lines are routinely applied in the hybrid maize breeding programs of many institutes and companies for their advantages of complete homozygosity and short breeding cycle length. A key issue in this approach is an efficient screen...
[Rapid Identification of Epicarpium Citri Grandis via Infrared Spectroscopy and Fluorescence Spectrum Imaging Technology Combined with Neural Network].
Guang pu xue yu guang pu fen xi = Guang pu
Oct 1, 2015
To explore rapid reliable methods for detection of Epicarpium citri grandis (ECG), the experiment using Fourier Transform Attenuated Total Reflection Infrared Spectroscopy (FTIR/ATR) and Fluorescence Spectrum Imaging Technology combined with Multilay...
Learning Compact Binary Face Descriptor for Face Recognition.
IEEE transactions on pattern analysis and machine intelligence
Oct 1, 2015
Binary feature descriptors such as local binary patterns (LBP) and its variations have been widely used in many face recognition systems due to their excellent robustness and strong discriminative power. However, most existing binary face descriptors...
[Study on UPLC Fingerprint of Corydalis bungeana].
Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials
Aug 1, 2015
OBJECTIVE: To establish an Ultra Performance Liquid Chromatography fingerprint of Corydalis bungeana from different habitats.
Improving artificial neural network model predictions of daily average PM10 concentrations by applying principle component analysis and implementing seasonal models.
Journal of the Air & Waste Management Association (1995)
Jul 1, 2015
UNLABELLED: This study introduces a seasonal modeling approach in the prediction of daily average PM10 (particulate matter with an aerodynamic diameter<10 μm) levels 1 day ahead based on multilayer perceptron artificial neural network (MLP-ANN) forec...
A method for volumetric imaging in radiotherapy using single x-ray projection.
Medical physics
May 1, 2015
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.
Robust automatic breast cancer staging using a combination of functional genomics and image-omics.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
Breast cancer is one of the leading cancers worldwide. Precision medicine is a new trend that systematically examines molecular and functional genomic information within each patient's cancer to identify the patterns that may affect treatment decisio...
Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to determine metric tensors to define distance based similarity in pattern classification, inspired in relevance learning. The variational method is applied to a co...
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