Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
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Vibration sensor data denoising using a time-frequency manifold for machinery fault diagnosisLearning the dynamical system behind sensory data.Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classesMultiview locally linear embedding for effective medical image retrieval.Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation.Vector Diffusion Maps and the Connection LaplacianBearing Fault Diagnosis Based on Statistical Locally Linear Embedding.Efficient initial volume determination from electron microscopy images of single particles.Manifold learning for robot navigation.Improving the classification accuracy for IR spectroscopic diagnosis of stomach and colon malignancy using non-linear spectral feature extraction methods.A sensorimotor approach to sound localization.Locality preserving based data regression and its application for soft sensor modellingInformation retrieval approach to meta-visualizationEvaluation of data compression techniques for the inference of stellar atmospheric parameters from high-resolution spectraMachine Fault Classification Based on Local Discriminant Bases and Locality Preserving ProjectionsSemisupervised Tangent Space Discriminant AnalysisFault Diagnosis of Supervision and Homogenization Distance Based on Local Linear Embedding AlgorithmPlant Leaf Recognition through Local Discriminative Tangent Space AlignmentRemaining Useful Life Prediction of Rolling Bearings Using PSR, JADE, and Extreme Learning MachineNonlinear Alignment and Its Local Linear Iterative SolutionRobust Structure Preserving Nonnegative Matrix Factorization for Dimensionality ReductionMultisensor Fused Fault Diagnosis for Rotation Machinery Based on Supervised Second-Order Tensor Locality Preserving Projection and Weighted k-Nearest Neighbor Classifier under Assembled Matrix Distance MetricRobust L-Isomap with a Novel Landmark Selection MethodPerson-Independent Head Pose Estimation Using Biased Manifold EmbeddingA Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data ReductionReal-time target detection in hyperspectral images based on spatial-spectral information extraction
P2860
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P2860
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
description
im Januar 2004 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 2004
@uk
name
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@en
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@nl
type
label
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@en
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@nl
prefLabel
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@en
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@nl
P1476
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
@en
P2093
Hongyuan Zha
Zhenyue Zhang
P304
P356
10.1137/S1064827502419154
P577
2004-01-01T00:00:00Z