Feb 8, 2017 · Our manifold alignment method is proposed in Section 3, and Section 4 introduces the new method for evaluating the local structure preservation.

The structural stability is defined as a metric of the local structure preservation property. It is shown that the proposed method preserves the local geometry ...

First, the alignment should minimize the distance between manifolds, ensuring high alignment accuracy. Second, the original structure should be preserved.

A Semi-supervised Manifold Alignment Algorithm and an Evaluation Method Based on Local Structure. Preservation. Xiaojie Li. 1. , Jiancheng Lv. 2∗. , Xi Wu. 1.

Li, Xiaojie,et al."A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation".NEUROCOMPUTING 224(2017):195- ...

The structural stability is defined as a metric of the local structure preservation property. It is shown that the proposed method preserves the local geometry ...

This paper introduces a general framework for manifold alignment and generates a family of approaches to align manifolds by simultaneously matching the ...

In this paper, we study a family of semisu- pervised learning algorithms for "aligning" dierent data sets that are characterized by the same underlying ...

A novel semi-supervised manifold alignment approach via multiple graph embeddings (MA-MGE) is proposed, different from the traditional manifold alignment ...

The present study proposes a parallel deep autoencoder neural network architecture for manifold alignment and conducts a series of experiments.