AbstractGiven a set of n points with a table of distances, i.e., a finite metric space, can one realize these distances by appropriately chosen points in a metric space of a given type? The answer to this “isometric embedding problem” has long been known for the case of Lp embedding with p = 1,2 or ∞. In this paper we ask, given that a finite metric space is embeddable, what is the minimum dimension required and what is its maximum for fixed n and p? The answer is trivial only for p = 2. We develop methods and bounds for p = 1 and ∞
AbstractA metric transform of a semimetric space X is obtained from X by measuring the distances by ...
Metric Embedding plays an important role in a vast range of application areas such as com-puter visi...
We show that the Hausdorff metric over constant-size pointsets in constant-dimensional Euclidean spa...
AbstractMetric Embedding plays an important role in a vast range of application areas such as comput...
An embedding of one metric space (X, d) into another (Y, ρ) is an injective map f: X → Y. The centra...
summary:Let $(X,d)$, $(Y,\rho)$ be metric spaces and $f:X\to Y$ an injective mapping. We put $\|f\|_...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Frechet's classical isometric embedding argument has evolved to become a major tool in the stu...
A fundamental question of metric embedding is whether the metric dimension of a metric space is rel...
We prove that every proper $n$-dimensional length metric space admits an "approximate isometric embe...
AbstractWe define the dimension of a distance matrix and its associated metric space, and use this t...
We consider the embedding of a finite metric space into a weighted graph in such a way that the tota...
We introduce the notion of metric cotype, a property of metric spaces related to a property of norm...
For a given metric measure space $(X,d,\mu)$ we consider finite samples of points, calculate the mat...
We consider a general notion of snowflake of a metric space by composing the distance with a nontriv...
AbstractA metric transform of a semimetric space X is obtained from X by measuring the distances by ...
Metric Embedding plays an important role in a vast range of application areas such as com-puter visi...
We show that the Hausdorff metric over constant-size pointsets in constant-dimensional Euclidean spa...
AbstractMetric Embedding plays an important role in a vast range of application areas such as comput...
An embedding of one metric space (X, d) into another (Y, ρ) is an injective map f: X → Y. The centra...
summary:Let $(X,d)$, $(Y,\rho)$ be metric spaces and $f:X\to Y$ an injective mapping. We put $\|f\|_...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Frechet's classical isometric embedding argument has evolved to become a major tool in the stu...
A fundamental question of metric embedding is whether the metric dimension of a metric space is rel...
We prove that every proper $n$-dimensional length metric space admits an "approximate isometric embe...
AbstractWe define the dimension of a distance matrix and its associated metric space, and use this t...
We consider the embedding of a finite metric space into a weighted graph in such a way that the tota...
We introduce the notion of metric cotype, a property of metric spaces related to a property of norm...
For a given metric measure space $(X,d,\mu)$ we consider finite samples of points, calculate the mat...
We consider a general notion of snowflake of a metric space by composing the distance with a nontriv...
AbstractA metric transform of a semimetric space X is obtained from X by measuring the distances by ...
Metric Embedding plays an important role in a vast range of application areas such as com-puter visi...
We show that the Hausdorff metric over constant-size pointsets in constant-dimensional Euclidean spa...