Curvilinear Component Analysis for High-Dimensional Data Representation: II.Examples of Additional Mapping Constraints in Specific Applications

机译：高维数据表示的曲线分量分析：II.特定应用中的附加映射约束的示例

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Using a recent algorithm for non linear mapping, Curvilinear Component Analysis, we show through three applicatiosn how a priori knowledge can be introduced in the CCA framework, and we translate this knowledge in term of mapping constraints. This a priori knowledge can the introduced to constraint the convergence of the algorithm toward a data structure having a best interpretation according to the physical process of input data generation. The three applications concern geographical data representation, speech recognition and IRMf image processing.

机译：利用最近的非线性映射算法，曲线分量分析，我们通过三个应用程序显示了如何在CCA框架中引入先验知识，并在映射约束期间翻译这些知识。该先验知识可以引入根据输入数据生成的物理过程约束算法朝向具有最佳解释的数据结构的收敛。三个应用程序涉及地理数据表示，语音识别和IRMF图像处理。

著录项

来源
《International work-conference on artificial and natural neural networks》|1999年||共10页
会议地点
作者
Anne Guerin-Dugue; Pascal Teissier; Gaspar Delso Gafaro; Jeanny Herault;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类自动化系统理论;
关键词

相似文献

外文文献
中文文献
专利

1. Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets [J] . Demartines P., Herault J. IEEE Transactions on Neural Networks . 1997,第1期

机译：曲线分量分析：用于数据集非线性映射的自组织神经网络
2. Efficient and sample-specific interpretation of ToF-SIMS data by additional postprocessing of principal component analysis results [J] . Heller-Krippendorf Danica, Veith Lothar, ter Veen Rik, Surface and Interface Analysis: SIA: An International Journal Devoted to the Development and Application of Techniques for the Analysis of Surfaces, Interfaces and Thin Films . 2019,第11期

机译：通过额外的经济分析结果的额外后处理对TOF-SIMS数据进行高效和采样的解释
3. Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data [J] . Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, NanoBioscience, IEEE Transactions on . 2016,第6期

机译：块约束鲁棒主成分分析及其在TCGA数据综合分析中的应用
4. Curvilinear Component Analysis for High-Dimensional Data Representation: II.Examples of Additional Mapping Constraints in Specific Applications [C] . Anne Guerin-Dugue, Pascal Teissier, Gaspar Delso Gafaro, Engineering applications of bio-inspired artificial neural networks . 1999

机译：高维数据表示的曲线分量分析：II。特定应用中附加映射约束的示例
5. High-Dimensional Data Analysis by Exploiting Low-Dimensional Models with Applications in Synchrophasor Data Analysis in Power Systems [D] . Gao, Pengzhi. 2017

机译：利用低维模型进行高维数据分析及其在电力系统同步相量数据分析中的应用
6. Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer [O] . Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, 2016

机译：使用rank-1的稀疏矩阵近似对多种高维数据类型进行联合分析并将其应用于卵巢癌和肝癌
7. Curvilinear Component Analysis: a Self-Organizing Neural Network for Nonlinear Mapping of Data Sets [O] . Pierre Demartines, Jeanny Hérault 1996

机译：曲线分量分析：一种用于非线性数据集映射的自组织神经网络

Curvilinear Component Analysis for High-Dimensional Data Representation: II.Examples of Additional Mapping Constraints in Specific Applications

摘要

著录项

相似文献

相关主题

期刊订阅