Supervised Dimension Reduction of Intrinsically Low-Dimensional Data

DOI10.1162/089976602753284491zbMath1009.62001OpenAlexW2117499506WikidataQ30667122 ScholiaQ30667122MaRDI QIDQ2775819

Nikos Vlassis, Ben Kröse, Yoichi Motomura

Publication date: 5 May 2003

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976602753284491

zbMATH Keywords

robot visual servoing

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics (62P99)

Related Items (3)

Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint ⋮ Feature extraction using constrained maximum variance mapping ⋮ Person-independent head pose estimation using biased manifold embedding

Uses Software

• KernSmooth

Cites Work

• On projection pursuit regression
• Projection pursuit
• Consistent nonparametric regression. Discussion
• Optimal smoothing in single-index models
• Algorithm AS 176: Kernel Density Estimation Using the Fast Fourier Transform
• Sliced Inverse Regression for Dimension Reduction
• Principal Curves

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