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Feb 24, 2020 · The best-known approximation algorithm computes an embedding with distortion O(c^2), where c denotes the optimal distortion [Bădoiu \etal~2005].
Abstract. The problem of computing a bi-Lipschitz embedding of a graphical metric into the line with minimum distortion has received a lot of attention.
The best-known approximation algorithm computes an embedding with distortion O(c²), where c denotes the optimal distortion [Bădoiu et al. 2005]. We present a bi ...
The first algorithmic result for outlier bi-Lipschitz embeddings is presented, which computes a bi-criteria approximation algorithm that extends the above ...
The problem of computing a bi-Lipschitz embedding of a graphical metric into the line with minimum distortion has received a lot of attention.
Feb 24, 2020 · Abstract. The problem of computing a bi-Lipschitz embedding of a graphical metric into the line with minimum distortion has received a lot ...
The problem of computing a bi-Lipschitz embedding of a graphical metric intothe line with minimum distortion has received a lot of attention.
Jan 1, 2020 · Computing Bi-Lipschitz Outlier Embeddings into the Line. Citation Details. Title: Computing Bi-Lipschitz Outlier Embeddings into the Line.
May 25, 2024 · Abstract: The problem of computing a bi-Lipschitz embedding of a graphical metric into the line with minimum distortion has received a lot ...
Papers · 1. Computing Bi-Lipschitz Outlier Embeddings into the Line · 2. Interpretability of Bayesian Network Classifiers: OBDD Approximation and Polynomial ...