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1. Fusion of data dimensionality reduction algorithms baced on category representation theory NSTL国家科技图书文献中心

Xiaoxiang Xu |  Fanzhang Li... -  《Fourth International Conference on Computer Vision,Application,and Algorithm (CVAA 2024)》 -  International Conference on Computer Vision,Application,and Algorithm - 2025, - 1348633.1~1348633.10 - 共10页

摘要: representation methods. Due to this, we use category theory to |  representation problems are one of the bottlenecks in the field |  study the fusion representation of data dimensionality |  reduction. We propose the basic concept of category |  representation for data dimensionality reduction and provide a
关键词: Category representation |  Data dimensionality reduction |  Data dimensionality reduction fusion representation

2. SelEx: Self-expertise in Fine-Grained Generalized Category Discovery NSTL国家科技图书文献中心

Sarah Rastegar |  Mohammadreza Salehi... -  《Computer Vision - ECCV 2024,Part LXX》 -  European Conference on Computer Vision - 2025, - 440~458 - 共19页

摘要:In this paper, we address Generalized Category |  the model to sharpen its category distinctions by |  considering within-category examples as 'hard' negatives | -the-art techniques in Generalized Category Discovery |  Discovery, aiming to simultaneously uncover novel
关键词: Generalized category discovery |  Fine-Grained classification |  Hierarchical representation learning

3. Bounded complete J -algebraic lattices NSTL国家科技图书文献中心

Han, Shengwei |  Xue, Yu -  《Applied categorical structures》 - 2025,33(1) - 共18页

摘要: categorical duality for the category of bounded complete J |  {Pos}}_vee $$end{document}, where Sup is the category |  category of posets and maps that preserve existing binary |  representation for bounded complete J-algebraic posets, which |  generalizes the representation of algebraic lattices
关键词: Poset |  Weak ideal |  W -structure |  BCJ -poset |  Category

4. PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery NSTL国家科技图书文献中心

Fernando Julio Cendr... |  Bingchen Zhao... -  《Computer Vision - ECCV 2024,Part IV》 -  European Conference on Computer Vision - 2025, - 188~205 - 共18页

摘要:We tackle the problem of Continual Category |  facilitate representation learning and prevent forgetting |  during category discovery. Moreover, GMP enables on-the | -fly estimation of category numbers, allowing |  prior knowledge of the category numbers. We extend the
关键词: Continual category discovery |  Prompt learning

5. Homological Theory of Representations Having Pure Acyclic Injective Resolutions NSTL国家科技图书文献中心

Li, Qihui |  Wang, Junpeng... -  《Results in mathematics》 - 2025,80(2) - 共31页

摘要: representation by R-modules of Q is called strongly fp |  in the category of representations. It is shown |  category of representations is given. | Let Q be a quiver and R an associative ring. A | -injective if it admits a pure acyclic injective resolution
关键词: Injective representation |  strongly fp-injective representation |  gorenstein injective representation |  model structure

6. Combinators as Observable Presheaves: A Characterization in the Grossone Framework NSTL国家科技图书文献中心

Rocco Gangle |  Fernando Tohme... -  《Numerical Computations,Part III》 -  International Conference on Numerical Computations: Theory and Algorithms - 2025, - 84~97 - 共14页

摘要: representation of combinators as presheaves defined over a |  category of generic figures. We adopt Sergeyev's grossone |  representation of combinators, ensures a sharper | Combinators, as defined originally by Moses |  Schonfinkel, give rise to a Turing-complete model of
关键词: Combinatory logic |  Generic figures |  Category theory |  Grossone

7. Termination of rewriting on reversible Boolean circuits as a free 3-category problem NSTL国家科技图书文献中心

Barile, Adriano |  Berardi, Stefano... -  《Theoretical computer science》 - 2025,1028 - 共14页

摘要: Boolean Circuits we focus on as a free 3-category Toff |  representation of circuits and of rewriting rules on them, and |  functor from our free 3-category Toff into a suitable 3 | -category Move that traces the "moves" applied to wires | Reversible Boolean Circuits are an interesting
关键词: Reversible Boolean circuits |  Reversible computing |  n-Categories |  Polygraphs |  Rewriting

8. A Meta-learning Approach for Category-Aware Sequential Recommendation on POIs NSTL国家科技图书文献中心

Jia-Ling Koh |  Po-Jen Wen... -  《Database Systems for Advanced Applications》 -  International Conference on Database Systems for Advanced Applications |  International Workshop on Big Data Management and Service |  International Workshop on Graph Data Management and Analysis |  International Workshop on Big Data Quality Management |  Workshop on Emerging Results inData Science and Engineering - 2025, - 163~177 - 共15页

摘要: category level. Subsequently, the feature representation | ) framework is introduced, known as the Category-Aware |  a category-level transition meta-learner and an |  category-level transition meta-learner, the proposed |  obtained from category transitions is inputted into the
关键词: Sequential recommendation |  Category-aware |  Meta-learning

9. Combining hierarchical sparse representation with adaptive prompt for few-shot segmentation NSTL国家科技图书文献中心

Xiaoliu Luo |  Ting Xie... -  《Expert Systems with Application》 - 2025,260(Jan.) - 125377.1~125377.14 - 共14页

摘要: are available for each category. Although some |  pixel relation concerns the effectiveness of category |  Hierarchical Sparse Representation with Adaptive Prompt for |  query images, enhancing the transfer of category |  hierarchical sparse representation module, which uncovers
关键词: Few-shot segmentation |  Adaptive prompt |  Hierarchical sparse representation |  Sparse regularization

10. Learning Semantic-aware Representation in Visual-Language Models for Multi-label Recognition with Partial Labels NSTL国家科技图书文献中心

HAOXIAN RUAN |  ZHIHUA XU... -  《ACM transactions on multimedia computing communications and applications》 - 2025,21(3) - 79.1~79.19 - 共19页

摘要: visual and textual representation for all categories |  introducing a semantic decoupling module and a category |  following the visual encoder learns category-specific |  attention mechanism. Moreover, the category-specific |  representations aligned with category semantics. Therefore, the
关键词: Multi-label recognition |  Partial labels |  Vision-language model
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