Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jonathan Montaño"'
Publikováno v:
Forum of Mathematics, Sigma, Vol 11 (2023)
We prove that double Schubert polynomials have the saturated Newton polytope property. This settles a conjecture by Monical, Tokcan and Yong. Our ideas are motivated by the theory of multidegrees. We introduce a notion of standardization of ideals th
Externí odkaz:
https://doaj.org/article/1987b736676d46d9b40b51d23a742e57
Autor:
Jonathan Montaño, Carles Bivià-Ausina
Publikováno v:
Nagoya Mathematical Journal. 245:166-191
We relate the analytic spread of a module expressed as the direct sum of two submodules with the analytic spread of its components. We also study a class of submodules whose integral closure can be obtained by means of a simple computer algebra proce
Autor:
Jonathan Montaño, Justin Lyle
Publikováno v:
Transactions of the American Mathematical Society. 373:7937-7958
A Cohen-Macaulay local ring $R$ satisfies trivial vanishing if $\operatorname{Tor}_i^R(M,N)=0$ for all large $i$ implies $M$ or $N$ has finite projective dimension. If $R$ satisfies trivial vanishing then we also have that $\operatorname{Ext}^i_R(M,N
Autor:
Jonathan Montaño, Hailong Dao
Publikováno v:
Mathematische Zeitschrift. 295:73-86
Let $R$ be a standard graded algebra over a field $k$, with irrelevant maximal ideal $\fm$, and $I$ a homogeneous $R$-ideal. We study the asymptotic vanishing behavior of the graded components of the local cohomology modules $\{\HH{i}{\fm}{R/I^n}\}_{
Publikováno v:
Similarity Search and Applications ISBN: 9783030609351
SISAP
SISAP
Similarity search in high-dimensional spaces is an important task for many multimedia applications. Due to the notorious curse of dimensionality, approximate nearest neighbor techniques are preferred over exact searching techniques since they can ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5681c96a4c40ddfacc58cf9a439825bf
https://doi.org/10.1007/978-3-030-60936-8_25
https://doi.org/10.1007/978-3-030-60936-8_25
Publikováno v:
Similarity Search and Applications ISBN: 9783030609351
SISAP
SISAP
Many large multimedia applications require efficient processing of nearest neighbor queries. Often, multimedia data are represented as a collection of important high-dimensional feature vectors. Existing Locality Sensitive Hashing (LSH) techniques re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3192b8819543891eb3d61ab29fbfffa5
https://doi.org/10.1007/978-3-030-60936-8_4
https://doi.org/10.1007/978-3-030-60936-8_4
A commutative Noetherian ring $R$ is said to be Tor-persistent if, for any finitely generated $R$-module $M$, the vanishing of $\operatorname{Tor}_i^R(M,M)$ for $i\gg 0$ implies $M$ has finite projective dimension. An open question of Avramov, et. al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1280e9e9a5c96a3a168d8d8eb14847f1
Autor:
Yairon Cid-Ruiz, Jonathan Montaño
We show that the mixed volumes of arbitrary convex bodies are equal to mixed multiplicities of graded families of monomial ideals, and to normalized limits of mixed multiplicities of monomial ideals. This result evinces the close relation between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0a5302f3daf86483febfe264f6f43d
Autor:
Hailong Dao, Jonathan Montaño
The symbolic analytic spread of an ideal $I$ is defined in terms of the rate of growth of the minimal number of generators of its symbolic powers. In this article we find upper bounds for the symbolic analytic spread under certain conditions in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15557d161ec25f9ad98404d20a193f3e
Publikováno v:
SSIAI
Finding similar images is a necessary operation in many multimedia applications. Images are often represented and stored as a set of high-dimensional features, which are extracted using localized feature extraction algorithms. Locality Sensitive Hash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0fe0bf912b7572f8b70b9de0d39fda7