Results 11 to 20 of about 8,007,653 (280)

Derived categories of NDG categories [PDF]

open access: yesJournal of Homotopy and Related Structures, 2021
We study $N$-differential graded ($NDG$) categories and their the derived categories. First, we introduce $N$-differential modules over an $NDG$ category $\mathcal{A}$. Then we show that the category $\mathsf{C}_{Ndg}(\mathcal{A})$ of $N$-differential $\mathcal{A}$-modules is a Frobenius category, and that its homotopy category $\mathsf{K}_{Ndg ...
Miyachi, Jun-ichi, Nagase, Hiroshi
openaire   +3 more sources

Subfactor Categories of Triangulated Categories [PDF]

open access: yesCommunications in Algebra, 2015
15 ...
Xu, Jinde, Zhou, Panyue, Ouyang, Baiyu
openaire   +2 more sources

Integral categories and calculus categories [PDF]

open access: yesMathematical Structures in Computer Science, 2018
Differential categories are now an established abstract setting for differentiation. However, not much attention has been given to the process which is inverse to differentiation: integration. This paper presents the parallel development for integration by axiomatizing an integral transformation, sA: !A → !A ⊗ A, in a symmetric monoidal category with a
Cockett, Robin, Lemay, Jean-Simon
openaire   +5 more sources

G-category versus orbifold category

open access: yesTopological Methods in Nonlinear Analysis, 2023
We present a comparative study of certain invariants defined for group actions and their analogues defined for orbifolds. In particular, we prove that Fadell's equivariant category for $G$-spaces coincides with the Lusternik-Schnirelmann category for orbifolds when the group is finite.
Andrés Ángel, Hellen Colman
openaire   +2 more sources

Psychological Aspects of Social Photography

open access: yesВісник Київського національного університету культури і мистецтв. Серія: Аудіовізуальне мистецтво і виробництво, 2021
The purpose of the research is to analyze the main features of social photography in the psychological aspect of the photographer. The research methodology is based on the application of a system-integrated approach to the review of this problem, within ...
Сергій Борденюк   +1 more
doaj   +1 more source

Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2018
We consider the problem of unsupervised domain adaptation in semantic segmentation. The key in this campaign consists in reducing the domain shift, i.e., enforcing the data distributions of the two domains to be similar.
Yawei Luo   +4 more
semanticscholar   +1 more source

Category of Intuitionistic Fuzzy Modules

open access: yesMathematics, 2022
We study the relationship between the category of R-modules (CR-M) and the category of intuitionistic fuzzy modules (CR−IFM). We construct a category CLat(R−IFM) of complete lattices corresponding to every object in CR−M and then show that, corresponding
Poonam Kumar Sharma   +2 more
doaj   +1 more source

Learning Category-Specific Mesh Reconstruction from Image Collections [PDF]

open access: yesEuropean Conference on Computer Vision, 2018
We present a learning framework for recovering the 3D shape, camera, and texture of an object from a single image. The shape is represented as a deformable 3D mesh model of an object category where a shape is parameterized by a learned mean shape and per-
Angjoo Kanazawa   +3 more
semanticscholar   +1 more source

Category of $A_{\infty}$-categories [PDF]

open access: yesHomology, Homotopy and Applications, 2003
An \(A_\infty\)-algebra is an algebra for Stasheff's associahedra (non-symmetric) operad on chain complexes. An \(A_\infty\)-category is a several object version of this, although the name might better be used for the unital case. There is a straightforward concept of \(A_\infty\)-functor; and the author here defines natural \(A_\infty ...
openaire   +3 more sources

Categorical Diversity-Aware Inner Product Search

open access: yesIEEE Access, 2023
The problem of maximum inner product search (MIPS) is one of the most important components in machine learning systems. However, this problem does not care about diversity, although result diversification can improve user satisfaction.
Kohei Hirata   +3 more
doaj   +1 more source

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