dimension reduction

Based on a detailed study of these processes, this thesis focuses on characteristics of feature dimension reduction and feature weighting.

Feature dimension reduction can be divided into two categories: feature extraction and feature selection.

This paper describes methodologies of dimension reduction algorithm and index structure to solve dimension reduction problem.

As a result, dimension reduction is one of the key steps of hyperspectral image processing. There are two ways for dimension reduction.

The minimum number of causality judgement indicators of ADR was determined by dimension reduction method.

Thirdly, standardization and dimension reduction are performed to classify signals in each signal subspace.

The dimension reduction recognition of motor model was realized by measuring the real response of servo motor to the inputting voltage.

Aiming at the 72-dimensional HSV color feature in content-based image retrieval(CBIR), this paper proposes a new dimension reduction idea.

The dimension reduction of hyperspectral data was classified by SVM.

In the end, for the extracted features, we used PCA for dimension reduction and SVM for recognition.

dimension reduction is made according to switched character data's value of each dimension or contribution.

In order to improve the performance of IDS (Intrusion Detection System), a synthetic dimension reduction method is proposed in this paper.

Multi-user detection based independent component analysis with preprocessing of dimension reduction

Linear transformation technology for image feature dimension reduction

Strategy of Dimension Reduction Driven by Differential Expression Analysis for Microarray Data

Dimension Reduction of Texture Features Based upon Independent Component Analysis

Noise and dimension reduction of process dynamic trends using independent component analysis

Dimension Reduction of Self-organized Neural Network Classification for Multi-band Satellite Data

Approach of Dimension Reduction for Visualization of Practical Dynamic Security Region

Partial Least Squares Dimension Reduction for Discriminate Analysis of Microarray Data

A Principal Component Neural Network with Minimum Error Entropy for Dimension Reduction of Non-Gaussian System

Design and application of observer with fault tolerance and dimension reduction capability

Image Recognition with the Nonlinear Dimension Reduction

Evaluation of the Slope Stability Using ANN Based SIR for Dimension Reduction

Survey of Dimension Reduction Methods in High-dimensional Indexing Schemes

Search the SP in an Extended Network by Dimension Reduction

Literature Review of Feature Dimension Reduction in Text Categorization

Dimension Reduction Techniques in Economics and Finance

Comparing Dimension Reduction Methods of Text Feature Matrix

Research on the RITE Measurement-based Dimension Reduction Method

Research on the Method of Dimension Reduction about High-dimension Date and Tts Application

Survey on dimension reduction techniques

A Study on Feature Dimension Reduction in Text Categorization

Adaptive multi-objective genetic algorithm based on dimension reduction and scanning approach

A New Dimension Reduction Index Method for Large Image Databases

Research on method of data dimension reduction

Application of Dimension Reduction on Using Improved LLE Based on Clustering

The Dimension Reduction Method Based on Data Transformation

PCA and ICA are adopted to deal with dimension reduction, the effect of which is compared and analyzed;