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This paper presents a new algorithm for nonlinear dimensionality reduction (NLDR). Smoothing splines are used to map the locally-coordinatized data points ...
LNAI 4212 - Spline Embedding for Nonlinear Dimensionality Reduction
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Abstract. This paper presents a new algorithm for nonlinear dimen- sionality reduction (NLDR). Smoothing splines are used to map the.
This paper presents a new algorithm for nonlinear dimensionality reduction (NLDR). Smoothing splines are used to map the locally-coordinatized data points ...
Abstract—This paper presents a new algorithm for Nonlinear Dimensionality Reduction (NLDR). Our algorithm is developed under the.
Sep 26, 2008 · This paper presents a new algorithm for Nonlinear Dimensionality Reduction (NLDR). Our algorithm is developed under the conceptual framework ...
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This paper presents a new algorithm for nonlinear dimensionality reduction (NLDR). Smoothing splines are used to map the locally-coordinatized data points ...
Jul 7, 2019 · 1 Answer 1 ... B-splines can be used to approximate a 1D curve. Thus, if you have a set of points (x,y), you can approximate the non-linear ...
This paper presents a new algorithm for nonlinear dimensionality reduction (NLDR). Smoothing splines are used to map the locally-coordinatized data points into ...
An optimization framework based on reconstruction error analysis, which can yield a global optimum for nonlinear dimensionality reduction (NLDR), ...
Abstract—Existing dimensionality reduction methods are adept at revealing hidden underlying manifolds arising from high-dimensional data and thereby ...