Sentence examples for manifold learning research from inspiring English sources

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

Recently, various researchers have considered manifold learning in matrix factorization.

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]].

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

In this paper, we propose a novel supervised manifold learning approach, supervised locality discriminant manifold learning (SLDML), for head pose estimation.

In summary, manifold learning methods, LPP or NFLE, discover the more intrinsic manifold structure than the global eigenspace methods, PCA and LDA.

Guided by the manifold learning embedding results, a novel cache size optimization scheme is developed.

This paper uses manifold learning to address structure in the acoustic space.

This study proposes a novel multiple-domain manifold (MDM) method to achieve representative features based on singular value decomposition (SVD) and manifold learning.

The neighborhood graph so constructed is naturally configured as a smooth manifold, and hence complies with the effectiveness condition underlying manifold learning.