Sentence examples for manifold learning models from inspiring English sources

Three typical manifold learning models, namely, ISOMAP, Local Linear Embedding (LLE) and principle component analysis (PCA), were employed, and their results were compared.

The diffusion maps framework is a kernel-based method for manifold learning and data analysis that models a Markovian process over data.

A new local structural manifold learning strategy is designed for the invariant appearance modeling in challenging conditions.

We incorporate the manifold learning and the regression with a learned discriminant manifold-based projection function obtained by discriminatively Laplacian regularized least squares.

In this work, we propose a framework for a supervised form of manifold learning called Biased Manifold Embedding to obtain improved performance in head pose angle estimation.

In this paper, a framework is proposed for a supervised form of manifold learning called biased manifold embedding.

Second, the proposed manifold learning method, NFLE, preserves the local structures among samples in manifold distributions.

Figure 5 Constructing contour trees using manifold learning techniques [[16]].

Manifold learning has become a hot issue in the field of machine learning and data mining.

Then, manifold learning algorithm is utilized to decompose feature matrix to be a subspace, that is, manifold subspace.

Nonlinear dimensionality reduction of data lying on multi-cluster manifolds is a crucial issue in manifold learning research.