Zobrazeno 1 - 10
of 11 474
pro vyhledávání: '"Mehwish A"'
Publikováno v:
JK Practitioner. Jul-Dec2023, Vol. 28 Issue 3/4, p41-49. 9p.
Lossy compression methods rely on an autoencoder to transform a point cloud into latent points for storage, leaving the inherent redundancy of latent representations unexplored. To reduce redundancy in latent points, we propose a sparse priors guided
Externí odkaz:
http://arxiv.org/abs/2411.13860
In the field of 3D Human Pose Estimation from monocular videos, the presence of diverse occlusion types presents a formidable challenge. Prior research has made progress by harnessing spatial and temporal cues to infer 3D poses from 2D joint observat
Externí odkaz:
http://arxiv.org/abs/2410.04574
Knowledge graphs (KGs) have recently been used for many tools and applications, making them rich resources in structured format. However, in the real world, KGs grow due to the additions of new knowledge in the form of entities and relations, making
Externí odkaz:
http://arxiv.org/abs/2409.04572
Due to its collaborative nature, Wikidata is known to have a complex taxonomy, with recurrent issues like the ambiguity between instances and classes, the inaccuracy of some taxonomic paths, the presence of cycles, and the high level of redundancy ac
Externí odkaz:
http://arxiv.org/abs/2409.04056
Rodents have long been established as the premier model for behavioral studies, traditionally raised and maintained in conventional cage environments. However, these settings often limit rodents' ability to exhibit their full range of intrinsic behav
Externí odkaz:
http://arxiv.org/abs/2409.01618
Early detection of skin cancer relies on precise segmentation of dermoscopic images of skin lesions. However, this task is challenging due to the irregular shape of the lesion, the lack of sharp borders, and the presence of artefacts such as marker c
Externí odkaz:
http://arxiv.org/abs/2408.09687
Autor:
Lawrynowicz, Agnieszka, Galarraga, Luis, Alam, Mehwish, Jaulmes, Berenice, Zeman, Vaclav, Kliegr, Tomas
In this chapter, we address the problem of rule mining, beginning with essential background information, including measures of rule quality. We then explore various rule mining methodologies, categorized into three groups: inductive logic programming
Externí odkaz:
http://arxiv.org/abs/2408.05773
Current methods for Video Moment Retrieval (VMR) struggle to align complex situations involving specific environmental details, character descriptions, and action narratives. To tackle this issue, we propose a Large Language Model-guided Moment Retri
Externí odkaz:
http://arxiv.org/abs/2405.12540
Publikováno v:
Management Decision, 2024, Vol. 62, Issue 11, pp. 3607-3632.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-04-2023-0654