Adaptive Sampling for Nonlinear Dimensionality Reduction Based on Manifold Learning

Modeling, Simulation and Applications - United States
doi 10.1007/978-3-319-58786-8_16
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer International Publishing

Related search

Improved Manifold Learning Algorithm for Data Dimension Reduction Based on KNN

2014English

Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Convolutional 2D LDA for Nonlinear Dimensionality Reduction

2017English

Automatic Dimensionality Estimation for Manifold Learning Through Optimal Feature Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Nonlinear Dimensionality Reduction in Climate Data

Nonlinear Processes in Geophysics
PetrologyNonlinear PhysicsGeochemistryGeophysicsStatistical
2004English

Review on Graph Learning for Dimensionality Reduction of Hyperspectral Image

Geo-Spatial Information Science
DevelopmentPlanningComputers in Earth SciencesGeography
2020English

Nonlinear Shape-Texture Manifold Learning

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2010English

Nonlinear Dimensionality Reduction of Large Datasets for Data Exploration

Data Mining VII: Data, Text and Web Mining and their Business Applications
2006English

Adaptive Learning-Based Compressive Sampling for Low-Power Wireless Implants

IEEE Transactions on Circuits and Systems I: Regular Papers
Electronic EngineeringElectrical
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy