Experiments for replicating the results in the paper "Raman Spectrum Matching with Contrastive Representation Learning" For each of the datasets, there is a single experiment that contains five ensembles with different initializations but the same data splitting. The instruction about how to use this file is shown in the GitHub repository: https://github.com/lyn1874/raman_spectra_matching_with_contrastive_learning To use the experiments, please cite our paper: @Article{D2AN00403H, author ="Li, Bo and Schmidt, Mikkel N. and Alstrøm, Tommy S.", title ="Raman spectrum matching with contrastive representation learning", journal ="Analyst", year ="2022", volume ="147", issue ="10", pages ="2238-2246", publisher ="The Royal Society of...
An easily accessible interactive method for the analysis of Raman spectra consisting of many overlap...
This data provides the data points of Figures 1-4 from the paper "A Closed-form Expression for the...
该文提出了应用重整化的高斯分类器对拉曼光谱信号识别.把每条光谱信号看作是高维矢量空间的一个点,建立统计模型后采用贝叶斯定则进行概率分类.计算机实验结果表明识别正确率可达到99.81%.中国科学引文数据...
Raman spectroscopy is an effective, low-cost, non-intrusive technique often used for chemical identi...
Raman spectra are examples of high dimensional data that can often be limited in the number of sampl...
\begin{wrapfigure}{l}{0pt} \includegraphics[scale=0.3]{1.eps} \end{wrapfigure} Raman Spectroscopy is...
\begin{wrapfigure}{l}{0pt} \includegraphics[scale=0.3]{1.eps} \end{wrapfigure} Raman Spectroscopy is...
Slightly processed raw data for the paper 'Comparability of Raman Spectroscopic Configurations: A L...
Raman spectroscopy is a powerful technique for detecting and quantifying analytes in chemical mixtur...
Convolutional neural networks (CNN) have been shown to provide a good solution for classification pr...
The variable configuration of Raman spectroscopic platforms is one of the major obstacles in establi...
This dataset contains our algorithm implementation as well as the Raman spectral data presented in "...
The variable configuration of Raman spectroscopic platforms is one ofthe major obstacles in establis...
We include the dataset corresponding to the figures of the paper "Optomechanical Collective Effects ...
Raman spectroscopy can probe the chemical structure of a material providing an optical ’fingerprint...
An easily accessible interactive method for the analysis of Raman spectra consisting of many overlap...
This data provides the data points of Figures 1-4 from the paper "A Closed-form Expression for the...
该文提出了应用重整化的高斯分类器对拉曼光谱信号识别.把每条光谱信号看作是高维矢量空间的一个点,建立统计模型后采用贝叶斯定则进行概率分类.计算机实验结果表明识别正确率可达到99.81%.中国科学引文数据...
Raman spectroscopy is an effective, low-cost, non-intrusive technique often used for chemical identi...
Raman spectra are examples of high dimensional data that can often be limited in the number of sampl...
\begin{wrapfigure}{l}{0pt} \includegraphics[scale=0.3]{1.eps} \end{wrapfigure} Raman Spectroscopy is...
\begin{wrapfigure}{l}{0pt} \includegraphics[scale=0.3]{1.eps} \end{wrapfigure} Raman Spectroscopy is...
Slightly processed raw data for the paper 'Comparability of Raman Spectroscopic Configurations: A L...
Raman spectroscopy is a powerful technique for detecting and quantifying analytes in chemical mixtur...
Convolutional neural networks (CNN) have been shown to provide a good solution for classification pr...
The variable configuration of Raman spectroscopic platforms is one of the major obstacles in establi...
This dataset contains our algorithm implementation as well as the Raman spectral data presented in "...
The variable configuration of Raman spectroscopic platforms is one ofthe major obstacles in establis...
We include the dataset corresponding to the figures of the paper "Optomechanical Collective Effects ...
Raman spectroscopy can probe the chemical structure of a material providing an optical ’fingerprint...
An easily accessible interactive method for the analysis of Raman spectra consisting of many overlap...
This data provides the data points of Figures 1-4 from the paper "A Closed-form Expression for the...
该文提出了应用重整化的高斯分类器对拉曼光谱信号识别.把每条光谱信号看作是高维矢量空间的一个点,建立统计模型后采用贝叶斯定则进行概率分类.计算机实验结果表明识别正确率可达到99.81%.中国科学引文数据...