A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction

机译：两类判别特征提取的快速定点算法

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

We propose a fast fixed-point algorithm to improve the Relevant Component Analysis (RCA) in two-class cases. Using an objective function that maximizes the predictive information, our method is able to extract more than one discriminative component of data for two-class problems, which cannot be accomplished by classical Fisher's discriminant analysis. After prewhitening the data, we apply Newton's optimization method which automatically chooses the learning rate in the iterative training of each component. The convergence of the iterative learning is quadratic, i.e. much faster than the linear optimization by gradient methods. Empirical tests presented in the paper show that feature extraction using the new method resembles RCA for low-dimensional ionosphere data and significantly outperforms the latter in efficiency for high-dimensional facial image data.

机译：我们提出了一种快速的定点算法来改进两类情况下的相关成分分析（RCA）。使用最大化预测信息的目标函数，我们的方法能够针对两类问题提取多个数据的判别成分，这是经典Fisher判别分析无法完成的。在对数据进行预白化之后，我们应用牛顿优化方法，该方法会在每个组件的迭代训练中自动选择学习率。迭代学习的收敛是二次的，即比梯度方法的线性优化快得多。本文提出的经验测试表明，使用该新方法进行特征提取与针对低维电离层数据的RCA相似，并且在高维人脸图像数据的效率上明显优于后者。

著录项

来源
《International Conference on Artificial Neural Networks(ICANN 2006) pt.2; 20060910-14; Athens(GR)》|2006年|330-339|共10页
会议地点 Athens(GR)
作者
Zhirong Yang; Jorma Laaksonen;
展开▼
作者单位

Laboratory of Computer and Information Science Helsinki University of Technology P.O. Box 5400, FI-02015 HUT, Espoo, Finland;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类人工智能理论;
关键词

相似文献

外文文献
中文文献
专利

1. Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction [J] . Diaz-Chito Katerine, del Rincon Jesus Martinez, Hernandez-Sabate Aura, Journal of mathematical imaging and vision . 2018,第4期

机译：用于特征提取的快速核广义辨别常见载体
2. Fast adaptive algorithms for optimal feature extraction from Gaussian data [J] . Ghassabeh Youness Aliyari, Rudzicz Frank, Moghaddam Hamid Abrishami Pattern recognition letters . 2016,第Jana15期

机译：快速自适应算法，可从高斯数据中提取最佳特征
3. An ensemble-based method for linear feature extraction for two-class problems [J] . David Masip, Ludmila I. Kuncheva, Jordi Vitria Pattern Analysis and Applications . 2005,第3期

机译：基于集成的两类线性特征提取方法
4. A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction [C] . Zhirong Yang, Jorma Laaksonen International Conference on Artificial Neural Networks(ICANN 2006) pt.2; 20060910-14; Athens(GR) . 2006

机译：两类判别特征提取的快速定点算法
5. Discriminative Feature Extraction of Time-Series Data to Improve Temporal Pattern Detection using Classification Algorithms [D] . Stolze, David 2018

机译：使用分类算法区分时间序列数据以提高时间模式检测的特征
6. Moment Feature Based Fast Feature Extraction Algorithm for Moving Object Detection Using Aerial Images [O] . A. F. M. Saifuddin Saif, Anton Satria Prabuwono, Zainal Rasyid Mahayuddin -1

机译：基于矩特征的航空图像运动目标检测快速特征提取算法
7. Nonnegative Matrix Factorization Algorithms using a Constraint to Increase the Discriminability of Two Classes for EEG Feature Extraction [O] . Motoki Sakai 2014

机译：使用约束增加两类可辨识性的非负矩阵分解算法用于脑电特征提取
8. Improved Feature Extraction, Feature Selection, and Identification Techniques That Create a Fast Unsupervised Hyperspectral Target Detection Algorithm [R] . Johnson, R. J. 2008

机译：改进的特征提取，特征选择和识别技术，创建快速无监督的高光谱目标检测算法

A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction

摘要

著录项

相似文献

相关主题

期刊订阅