In this paper, we consider de-noising as well as dimensionality reduction by proposing a novel method named Robust Integrated Locally Linear Embedding. The�...
tion named Robust Integrated Locally Linear Embedding(RILLE), which gains embedding of data by learning a robust similarity function that is low-rank, semi-.
In this paper, we address the outlier problem in the context of LLE. Based on robust PCA techniques, we propose an approach to make LLE more robust.
Oct 15, 2017 � In this paper, we present a new model for learning robust locally-linear controllable embedding (RCE). Our model directly estimates the predictive conditional�...
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What is local linear embedding?
Dec 4, 2012 � The method combines the two steps in LLE into a single framework and deals with de-noising by solving a l2,1-l2 mixed norm based optimization�...
This paper proposes a robust locally nonlinear embedding (RLNE) method to alleviate the impact of noise.
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In this paper, we consider de-noising as well as dimensionality reduction by proposing a novel method named Robust Integrated Locally Linear Embedding. The�...
Locally Linear Embedding (LLE) is a powerful technique for nonlinear dimensionality reduction and manifold learning, enabling the simplification of complex�...
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In this paper, we address this problem in the context of the Hessian locally linear embedding (HLLE) algorithm and propose a more robust method, called RHLLE.
The locally linear embedding (LLE) algorithm has recently emerged as a promising technique for dimensional reduction and feature extraction because it preserves�...
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