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We introduce and study mutation of torsion pairs, as a generalization of mutation of cluster tilting objects, rigid objects and maximal rigid objects. It is proved that any mutation of a torsion pair is again a torsion pair. A geometric…

Representation Theory · Mathematics 2017-07-03 Yu Zhou , Bin Zhu

We investigate the notions of \emph{localization} and \emph{filtration} in the context of extended affine Lie algebras. Our primary objective is to develop a localization theory that facilitates the construction of meaningful local…

Quantum Algebra · Mathematics 2025-10-10 Saeid Azam

Classification is a major tool of statistics and machine learning. A classification method first processes a training set of objects with given classes (labels), with the goal of afterward assigning new objects to one of these classes. When…

Machine Learning · Statistics 2024-07-08 Jakob Raymaekers , Peter J. Rousseeuw , Mia Hubert

Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. Due to its relevance, TL has gained…

Machine Learning · Computer Science 2017-12-07 Ricardo Gamelas Sousa , Luís A. Alexandre , Jorge M. Santos , Luís M. Silva , Joaquim Marques de Sá

We develop the K-theory of sets with an action of a pointed monoid (or monoid scheme), analogous to the $K$-theory of modules over a ring (or scheme). In order to form localization sequences, we construct the quotient category of a nice…

K-Theory and Homology · Mathematics 2021-09-08 Ian Coley , Charles Weibel

Localization is a topological technique that allows us to make global equivariant computations in terms of local data at the fixed points. For example, we may compute a global integral by summing integrals at each of the fixed points. Or,…

Symplectic Geometry · Mathematics 2007-10-30 Tara S. Holm

Localization methods are ubiquitous in cyclic homology theory, but vary in detail and are used in different scenarios. In this paper we will elaborate on a common feature of localization methods in noncommutative geometry, namely…

K-Theory and Homology · Mathematics 2022-12-29 Markus J. Pflaum

Place classification is a fundamental ability that a robot should possess to carry out effective human-robot interactions. It is a nontrivial classification problem which has attracted many research. In recent years, there is a high…

Robotics · Computer Science 2015-06-15 Yiyi Liao , Sarath Kodagoda , Yue Wang , Lei Shi , Yong Liu

A network is called localizable if the positions of all the nodes of the network can be computed uniquely. If a network is localizable and embedded in plane with generic configuration, the positions of the nodes may be computed uniquely in…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-30 Buddhadeb Sau , Krishnendu Mukhopadhyaya

We give a characterisation of the extriangulated categories which admit the structure of a triangulated category. We show that these are the extriangulated categories where for every object $X$ in the extriangulated category, the morphism…

Category Theory · Mathematics 2020-10-15 Dixy Msapato

The goal of the article is to better understand cosupport in triangulated categories since it is still quite mysterious. We study boundedness of local cohomology and local homology functors using Koszul objects, give some characterizations…

Algebraic Geometry · Mathematics 2020-06-16 Xiaoyan Yang

Clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the process of grouping similar…

Data Structures and Algorithms · Computer Science 2012-05-08 T. Soni Madhulatha

We introduce the notion of a rank function on a triangulated category $\mathcal{C}$ which generalizes the Sylvester rank function in the case when $\mathcal{C}=\operatorname{Perf}(A)$ is the perfect derived category of a ring $A$. We show…

Rings and Algebras · Mathematics 2021-10-12 Joseph Chuang , Andrey Lazarev

We study localizations of infinity categories that remain localizations after any base change.

Category Theory · Mathematics 2026-01-15 Vladimir Hinich

We show that the class of inductively factored arrangements is closed under taking localizations. We illustrate the usefulness of this with an application.

Combinatorics · Mathematics 2016-02-24 Tilman Moeller , Gerhard Roehrle

We study abelian localizations of triangulated categories induced by rigid contravariantly finite subcategories, and also triangulated structures on subfactor categories of triangulated categories. In this context we generalize recent…

Representation Theory · Mathematics 2013-05-13 Apostolos Beligiannis

Data clustering is the process of identifying natural groupings or clusters within multidimensional data based on some similarity measure. Clustering is a fundamental process in many different disciplines. Hence, researchers from different…

Machine Learning · Computer Science 2014-08-26 Sibei Yang , Liangde Tao , Bingchen Gong

Anderson localization provides a challenge to numerical approaches due to the inherent randomness, and hence absence of simple symmetries, in its discrete Hamiltonian representation. Numerous algorithmic approaches have been developed or…

Disordered Systems and Neural Networks · Physics 2025-03-04 Rudolf A. Römer

Given a recollement of three proper dg algebras over a noetherian commutative ring, e.g. three algebras which are finitely generated over the base ring, which extends one step downwards, it is shown that there is a short exact sequence of…

Representation Theory · Mathematics 2023-07-06 Haibo Jin , Dong Yang , Guodong Zhou

We show how the categorial approach to inverse monoids can be described as a certain endofunctor (which we call the partialization functor) of some category. In this paper we show that this functor can be used to obtain several recently…

Group Theory · Mathematics 2010-04-02 Ganna Kudryavtseva , Volodymyr Mazorchuk