Sentence examples for manifold learning method from inspiring English sources

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

An improved manifold learning method, called enhanced semi-supervised local Fisher discriminant analysis (ESELF), for face recognition is proposed.

Aiming at the flaws encountered by the kurtogram method, this paper proposes a novel kurtogram manifold learning method for signal de-noising in whole time-frequency space.

Chang et al. [3] proposed a SR method based on this principle using the manifold learning method of locally linear embedding (LLE) [24].

A new manifold learning method, called improved semi-supervised local fisher discriminant analysis (iSELF), for gene expression data classification is proposed.

Moreover, the feature vectors for fault diagnosis are obtained from vibration signal that preprocessed by time-domain, frequency-domain and empirical mode decomposition (EMD) and the typical manifold learning method LTSA is used to select salient features.

To capture the local structure information, several manifold learning methods have been proposed.

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

The effectiveness and superiorities of the proposed method are demonstrated through several comparative experiments with other three manifold learning methods.

Traditional manifold learning methods focus on preserving only the intra-class geometric properties of the manifold embedded in the high-dimensional ambient space, so they cannot fully utilize the underlying discriminative knowledge of the data.

The experimental results validate that the SDMP is more effective than the other three manifold learning methods for implementation bearing fault diagnosis, and it is more robust when deal with noise interference signal.