Sentence examples for manifold learning components from inspiring English sources

The motivation for developing ensemble of manifold learning components is that it can achieve higher accuracy and applicability than single component in machinery fault diagnosis.

However, navigation is not process-pure, as manifold learning components contribute to performance, notably the spatial and contextual memory constituents.

The machine learning components utilize supervised learning with rich features.

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.

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

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

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

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.