dimensionality reduction

Dimensionality reduction techniques applied to the item space tend to have the same effect by eliminating low-frequency items.

This paper compares the most popular dimensionality reduction and pattern classification methods used in criminal suspect face recognition.

The most promising solution involves performing dimensionality reduction on the data, then indexing the reduced data with a spatial method.

As a new learning framework, the diffusion method realizes dimensionality reduction in a diffusion processing.

The Locally Linear Embedding(LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.

In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction.

Subsequently, principal component analysis (PCA) is used for dimensionality reduction.

Dimensionality reduction is an important preprocessing step before object recognition.

Thirdly, PCA dimensionality reduction algorithm is applied to reduce the dimension of union feature.

Most machine learning tasks confront the problem of dimensionality reduction for extracting meaningful features and processing convenience.

Based on the Neighborhood Preserving Embedding (NPE) algorithm, a novel dimensionality reduction method called ONPE is proposed.

Multidimensional scaling is a powerful tool for dimensionality reduction in the field of pattern recognition and data mining.

Dimensionality reduction method based on kernel principal component analysis was introduced to improve the matching speed. 4.

Secondly, in order to achieve the purpose of dimensionality reduction, reconstructed the samples linearly by using the adjusted matrix.

Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations

Dimensionality Reduction with Input Training Neural Network and Its Application in Chemical Process Modelling

second, studies on the method of image dimensionality reduction and its application in fingerprint recognition;

Dimensionality Reduction Method for Numerical Computation of Radiant Heat Transfer with Two-Dimensional Characteristics

Performance Optimization of Fractal Dimensionality Reduction Algorithm

Dimensionality Reduction in Statistical Pattern Recognition and Low Loss Dimensionality Reduction

Research on an Arithmetic of Image Dimensionality Reduction for Web Environment

Principal Independent Component Network for Dimensionality Reduction and Blind Source Separation

many false hits were caused when use dimensionality reduction methods or approximate vector technology in high-dimensional data retrieval;

The application of multifactor dimensionality reduction for detecting gene-gene interactions

Dimensionality Reduction Quickly Arranging Algorithm of Lock Chambers in Co - Scheduling of Three Gorges Dam and Gezhouba Dam System

Application of Nonlinear Dimensionality Reduction to Classification of Surface Defects of Cold Rolled Strips

Dimensionality reduction for text document using difference-similitude matrix

A Novel Method for the Determination of Redshifts of Normal Galaxies by Non-Linear Dimensionality Reduction

Research on Dimensionality Reduction Technology of Hyperspectral Data

Dimensionality Reduction in Radar Target Identification

Dimensionality Reduction and Similarity Search in Large Time Series Databases

Clustering-Based Dimensionality Reduction for Kernel Matrix

Nonlinear dimensionality reduction in the analysis of high dimensional medical data

An Efficient Dimensionality Reduction Technique for Times-Series Data Sets

Novel method for image feature retrieval based on color constant and its dimensionality reduction

Dimensionality reduction based on spectral graph and its application

Research on the Method of Nonlinear Dimensionality Reduction for Text Data

A New Nonlinear Dimensionality Reduction for Color Image

Method of automatic state recognition based on radar chart expression and dimensionality reduction

Nonlinear Dimensionality Reduction Based on Statistical Criterions

Dimensionality reduction in audio fingerprint based on weighted PCA

there are two kinds of dimensionality reduction methods , band selection and feature extraction

Text mining and technology of dimensionality reduction