LLE and ISOMAP Analysis of Robot Images
نویسنده
چکیده
Locally Linear Embedding (LLE) and Isomap are two frameworks to process and analyze highdimensional non-linear data domains, such as time and spatial series images. These techniques allow the creation of low-dimensional embeddings of the original data that are much easier to visualize and work with than the initial, high-dimensional data. In particular, the dimensionality of such embeddings is similar to that obtained by classical techniques used for linear dimensionality reduction, such as PCA. In this paper we investigate the dimensionality and the geometric properties of the manifold of image sequences from a moving. At the end, we also proposed some future thoughts.
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