high-dimensional

Now, with a plethora of high-dimensional data available, such work can be applied to real-world scenarios.

The hidden manifold in the high dimensional space can be successfully embedded to a low dimensional space using KPCA.

Absrtact: The problem of similarity measurement between high dimensional data is one of the problems high-dimensional data mining faces.

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

This paper has proposed and realized a kind of text clustering algorithm used for high dimensional sparse similar matrix.

High dimensional stability throughout the lifespan is achieved by the low creep tendency of the polymers used.

At present, how to deal with large-scale high-dimensional data set is one of the hot and difficult issues in data mining.

Describing topological relationships between large amounts of metabolites, the metabolic networks are abstract, high-dimensional data.

According to statistic learning theory, we use kernel functions to map the training samples into a high dimensional space for training.

The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.

Neighborhood selection is one of the most important link in low-dimensional representations of high-dimensional data sets.

Accurate estimate of data distribution and efficient partition of data space are key problems in high-dimensional indexing schemes.

The enhancement of high-dimensional indexing technique is necessary to improve the performance of image database retrieval.

Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.

The visual appearances of an object may bear a manifold in the high-dimensional image space.

From the angle of high dimensional space vector, illumination of the image was analyzed.

teacher received a high-dimensional Hengyang City school class meeting Lessons Competition first prize.

Quotient space theory for treatment of high-dimensional, incomplete, complex, vague, massive data, there are unique advantages.

In recent years, with the application of clustering, high dimensional data clustering is becoming more common, and more important.

Searching for high dimensional integrable models (especially in 3 1 dimensions) is one of the most important problems in nonlinear physics.

Simulation results on standard test functions show that CHPSO is pretty efficient to solve high dimensional complex problems.

It also addresses the movement to make large high-dimensional datasets public for further analysis, and the associated methods.

Mathematicians struggle with ways to tame these monsters, which they call "high dimensional" systems.

Experiments manifest the GASS and FSEL also has better effectiveness on the high-dimensional genetic data.

Further more, it discusses the model of high-dimensional density.

Data mining is about digging up interesting information from this high-dimensional data.

When we are taking the functions' high-dimensional integral simulations, the rejection sampling method is normally used frequently.

Aiming at the similarity measurement of high dimensional data, the paper put forward a new method based on subspace.

High-dimensional outlier mining is an important branch in the field of data mining.

WwW. zIdiR. coM Power system is a typical high dimensional nonlinear dynamic system.

The consistency of BICC in high dimensional data model selection is also shown.

With high dimensional accuracy, good conductivity , fire performance, and anti-magnetic , not easily deformed and so on.

It makes use of the high dimensional space is mostly empty, so it can be represented by a lower dimensional subspace.

The complexity of feature selection for real-world data stream will increase because of high-dimensional data and concept drifting.

A novel classification measure based on matrix volume according to the high dimensional geometry theory is proposed for face recognition.

With the expansion of the application field of clustering analysis, more and more high-dimensional and mixed-type data need to be processed.

The design and synthesis of high dimensional molecule based ferromagnets are the challenge of the nature to chemists.

It can project high dimensional data to lower one.

Nonlinear Observer and Its Application(I): Observer for a Class of High-dimensional Nonlinear System

Calculations of the Periodic Solution and Its Bifurcations of High-Dimensional Nonlinear Rotor Systems

Conjugate direction particle swarm optimization and its application for high-dimensional chemical engineering data processing

Reliability of a High-dimensional Packaging Oscillatory System under Stochastic Excitation

Characterization Analysis of Separable High-dimensional Orthonormal Compactly Supported Wavelet

On Holomorphic Solutions of the Non-Linear Totally Characteristic Equations in High Dimensional Complex Domain

Simplest Normal Form of High-Dimensional Hopf Bifurcation System

a high - dimensional propagation model for a class of highly infectious latent diseases under safety measures

Positive Periodic Solutions for High- dimensional State - dependent Delay Differential Equations

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

Study of nonlinear dynamics behavior in high-dimensional parallel DC-DC buck converter

The Consistent Suitability of a Kind of the Cauchy Problem of High- Dimensional Linear Partial Differential Equation System

High Dimensional Cloud Model and Its Application in Multiple Attribute Evaluation

Global Stability for a Non-linear High Dimensional Autonomous Differential System SEIQR Model in Epidemiology

An Efficient Discovering and Maintenance Algorithm of Subspace Clustering over High Dimensional Data Streams

Entanglement of Formation for a Class High Dimensional Quantum States

Optimal statistical clustering for high dimensional fault sample using evolution strategies

Numerical simulation of a high-dimensional model of a periodic flow reversal reactor

Synchronization of High Dimensional Chaotic System Based Nonlinear Feedback Control

High Dimensional Multispectral Data Classification by Support Vector Machine

Application of Interesting Subspace Mining Algorithm in High-dimensional Data Clustering

with regard to the high-dimensional test problem, it could convergence to the overall optimal point with very high reliability;

The Application of High Dimensional Chaos Synchronous Control in Security Communication

A Random Projected Clustering Algorithm Facing High-Dimensional Categorical Data

Algorithms of Feature Extraction from High-Dimensional Objects and their Comparisons

The Generalization of Metric Equations in the High-Dimensional Euclidean Space and Their Applications

Improved method of parallel construction and storage for high-dimensional hierarchy aggregate Cube

On the High Dimensional Polynomial-like Iterative Equation with Variable Coefficients

Improving the Similarity Search Performance in High-Dimensional Data Space by Satellite Region

The integral invariant construction of holonomic nonconservative dynamical systems in the high-dimensional extended phase space

High dimensional precision of castings and stable geometrical dimension;

The Indexing of High-Dimensional Features Using Simple Nearest Neighbor Search Algorithm

The GASS algorithm makes subspace selection for high-dimensional features, and eliminates useless subclassifier;

Study of High-dimensional Index Structures

On Computing for Replacing Eulideans Distance by Linear Combination of Cityblock and Chessboard Distances in High Dimensional Space

Validity Validation of An Improved High - dimensional Cluster Analysis Algorithm Based on Grid and Intensity

Nonlinear dimensionality reduction in the analysis of high dimensional medical data

Efficient algorithm for frequent closed patterns mining from high dimensional data

The Existence of Hopf Invariment Manifolds of High Dimensional Discrete Dynamical Systems

Constructive Method for the Cauchy Problem of High Dimensional Parabolic Equations

A perturbation algorithm for MDA in high dimensional space and its application to face recognition

Study on the Low-Dimensional Embedding and the Embedding Dimensionality of Manifold of High-Dimensional Data

Retrieving CA Nonlinear Transition Rule from High-dimensional Feature Space

Implementation of Density-based Outlier Detection in High-dimensional Space

On Statistical Analyses for High-dimensional, Dependent and Incomplete Data Sets

A Fast Outlier Detection Algorithm for High Dimensional Categorical Data Streams

Feature Selection in High Dimensional Clustering Analysis

Survey of Dimension Reduction Methods in High-dimensional Indexing Schemes

An efficient high-dimensional image indexing method for relevance feedback

New approach for outlier detection in high dimensional dataset with mixed attributes

Research on Speaker-Independent Continuous Figure Speech-Recognition Based on High-Dimensional Space Covering and Dynamic Scanning

The fractional inequality associated to two high dimensional simplex

Storage technology of high-dimensional OLAP aggregate data in data warehouse system

The Greatest Expression of High Dimensional Image

Research on Clustering and Evolution Analysis of High Dimensional Data Stream

A Measurement-Based High-Dimensional Dynamic Load Balancing Scheme

A Grid-based Subspace Clustering Algorithm for High-dimensional Data Streams

Research on Bifurcations of a High Dimensional Map

A high-order alternating direction implicit method for solving the high dimensional heat equations

Research on Methods of High - dimensional Data Visualization

Key Dimension Based High-Dimensional Data Partition Strategy

A subspace clustering algorithm for high dimensional spatial data

Design of High-dimensional Fuzzy Classification Systems Based on Multi-objective Evolutionary Algorithm

Subspace clustering method for high dimensional data stream

Research on High-dimensional Indexing Scheme for Large Image Database

An Efficient Clustering Algorithm of Large Scale and High Dimensional Data Set

A multi-resolution indexing method for high-dimensional image databases using the wavelet transform

Clustering Pyramid-Tree: A New Index Structure for High-Dimensional Data Spaces

Fuzzy Nearest Neighbor Clustering of High-Dimensional Data

Using ICA to Extract Features from High-Dimensional Scientific Data

Similarity Measurement Of Data In High-dimensional Spaces

A Mapping- based Clustering Approach for High Dimensional Data

A New Multiresolution Feature Matching Algorithm in High-Dimensional Image Databases

The Research of Anomaly Detection Based on High-Dimensional Geometrical Feature in Hyperspectral Imagery

A fuzzy clustering algorithm of high dimensional spatial data

CSA-Tree: An Optimized High-Dimensional Index Tree for Main Memory Access

Algorithm for Similarity Search in Time Series in High-dimensional Flight Data

Research of High Dimensional Index Structure

High Dimensional Sparse Feature Data Clustering Algorithm Based on Binary Computation

The Possible Symmetry of Crystal in High-Dimensional Space

Stability of High Dimensional Systems with Time Delay

PMUCR Method with Applications to High-dimensional Nonlinear System

Review of High Dimensional Index Structures in Metric Spaces

A Wavelet Method of High-Dimensional Image Compression

The Maximum Distance in High Dimensional Spaces

The Butterfly Theorem in High Dimensional Space

New high-dimensional indexing structure based on principal component sorting

Operational Rules for Digital Coding of RNA Sequences Based on DNA Computing in High Dimensional Space

LIFT: An Index Structure for High Dimensional Data

Discovery of High Dimensional Outliers Based on Association Analysis

Fast Range Query in Large High-dimensional Spaces

High-dimensional EEG features selection based on random forests algorithm

Efficient High-Dimensional Image Indexing Based on SVD for Quadratic form Distance

A Way to Visualize High Dimensional Data of Large Relational Data Sets

Novel high-dimensional indexing structure based on dual-distance metric

A Test for Rigid Structure of the Grouped Points in High-Dimensional Data

Splitting Strategy for High Dimensional Data Based on Fuzzy Clustering

High-dimensional data feature selection based on relevance analysis and GA

Study on the index of high dimensional data space

Approximate k-NN Search in High-Dimensional Spaces Based on the Clustering Index Tree

An Outlier Detection Method in High Dimensional Time Series Based on LLM

CBFrag-Cubing: An Algorithm of High-Dimensional Data Cubing Based on Compressed Bitmap

Memory-basedindex algorithm in high-dimensional spaces based on the improved NB tree

HGHD: An Algorithm for Clustering Data in High Dimensional Space Based on Hypergraph

A High Dimensional Data Indexing Technique Based on Max Gap Space Mapping