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Related papers: Intrinsic Dimensionality

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The numerical dimension is a numerical measure of the positivity of a pseudo-effective divisor $L$. There are several proposed definitions of the numerical dimension due to Nakayama (2004) and Boucksom et al. (2004). We prove the equality…

Algebraic Geometry · Mathematics 2015-08-21 Brian Lehmann

Various relations between conformal quantum field theories in one, two and four dimensions are explored. The intention is to obtain a better understanding of 4D CFT with the help of methods from lower dimensional CFT.

Mathematical Physics · Physics 2010-02-03 Marcel Bischoff , Daniel Meise , Karl-Henning Rehren , Ingo Wagner

We explain how the representation theory associated with supersymmetry in diverse dimensions is encoded within the representation theory of supersymmetry in one time-like dimension. This is enabled by algebraic criteria, derived, exhibited,…

High Energy Physics - Theory · Physics 2009-07-22 M. G. Faux , K. M. Iga , G. D. Landweber

Detecting and exploiting similarities between seemingly distant objects is without doubt an important human ability. This paper develops \textit{from the ground up} an abstract algebraic and qualitative notion of similarity based on the…

Artificial Intelligence · Computer Science 2025-05-20 Christian Antić

This short review is devoted to measures on infinite dimensional spaces. We start by discussing product measures and projective techniques. Special attention is paid to measures on linear spaces, and in particular to Gaussian measures.…

Functional Analysis · Mathematics 2023-12-08 José Velhinho

There exist many four dimensional integrable theories. They include self-dual gauge and gravity theories, all their extended supersymmetric generalisations, as well the full (non-self-dual) N=3 super Yang-Mills equations. We review the…

High Energy Physics - Theory · Physics 2015-06-26 Ch. Devchand , V. Ogievetsky

We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extraction. Given a family of distances on a set of objects, a…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Rudi Cilibrasi , Paul Vitanyi

Deep learning models have seen significant successes in numerous applications, but their inner workings remain elusive. The purpose of this work is to quantify the learning process of deep neural networks through the lens of a novel…

Machine Learning · Computer Science 2023-05-10 Rayna Andreeva , Katharina Limbeck , Bastian Rieck , Rik Sarkar

In this paper, we introduce for the first time the notions of neutrosophic measure and neutrosophic integral, and we develop the 1995 notion of neutrosophic probability. We present many practical examples. It is possible to define the…

Artificial Intelligence · Computer Science 2013-12-02 Florentin Smarandache

In this paper we define a numerical shape invariant of a continuous map called shape dimension of a map, which generalizes the shape dimension of a topological space. Some basic properties and applications of this invariant are given. The…

Algebraic Topology · Mathematics 2023-08-29 Pavel S. Gevorgyan , I. Pop

A review article submitted to Physics Report: Target space duality and discrete symmetries in string theory are reviewed in different settings.

High Energy Physics - Theory · Physics 2010-11-01 A. Giveon , M. Porrati , E. Rabinovici

Enclosing depth is a recently introduced depth measure which gives a lower bound to many depth measures studied in the literature. So far, enclosing depth has only been studied from a combinatorial perspective. In this work, we give the…

Computational Geometry · Computer Science 2024-02-20 Bernd Gärtner , Fatime Rasiti , Patrick Schnider

Tables on the Web contain a vast amount of knowledge in a structured form. To tap into this valuable resource, we address the problem of table retrieval: answering an information need with a ranked list of tables. We investigate this…

Information Retrieval · Computer Science 2021-05-14 Shuo Zhang , Krisztian Balog

Scientific endeavors such as large astronomical surveys generate databases on the terabyte scale. These, usually multidimensional databases must be visualized and mined in order to find interesting objects or to extract meaningful and…

In machine learning, the performance of a classifier depends on both the classifier model and the separability/complexity of datasets. To quantitatively measure the separability of datasets, we create an intrinsic measure -- the…

Machine Learning · Computer Science 2021-09-14 Shuyue Guan , Murray Loew

In the History of Ideas, a succession of philosophical and scientific achievements, concerning the concept of space and its dimensionality, were essential to contribute, after a long period, to the theoretical possibility of thinking…

History and Philosophy of Physics · Physics 2024-07-10 Francisco Caruso

This is a survey paper on the dimension theory of self-similar measures on the real line focusing on the role of entropy rates.

Dynamical Systems · Mathematics 2026-03-24 Péter P. Varjú

The curse of dimensionality in the realm of association rules is twofold. Firstly, we have the well known exponential increase in computational complexity with increasing item set size. Secondly, there is a \emph{related curse} concerned…

Artificial Intelligence · Computer Science 2018-05-16 Tom Hanika , Friedrich Martin Schneider , Gerd Stumme

Higher dimensional supersymmetric quantum mechanics is studied. General properties of the two dimensional case are presented. For three spatial dimesions or higher, a spin structure is shown to arise naturally from the nonrelativistic…

High Energy Physics - Theory · Physics 2015-06-26 Ashok Das , Sergio. A. Pernice

In this paper we present a mathematical framework on linking of embeddings of compact topological spaces into Euclidean spaces and separability of linked embeddings under a specific class of dimension reduction maps. As applications of the…

General Topology · Mathematics 2025-11-11 Xiao-Song Yang