Zobrazeno 1 - 10
of 162 216
pro vyhledávání: '"HOANG, A."'
Bayesian Optimization (BO) is a widely-used method for optimizing expensive-to-evaluate black-box functions. Traditional BO assumes that the learner has full control over all query variables without additional constraints. However, in many real-world
Externí odkaz:
http://arxiv.org/abs/2412.15863
Using toric modifications and some compatibility we compute the local $p$-adic zeta function of a plane curve singularity. Thanks to the compatibility, we can work over the analytic change of variables formula for $p$-adic integrals, hence avoid adap
Externí odkaz:
http://arxiv.org/abs/2412.05470
Autor:
Trung, Quang Hoang, Phuc, Nguyen Van Hoang, Hoang, Le Trung, Hieu, Quang Huu, Duy, Vo Nguyen Le
Text Retrieval (TR) involves finding and retrieving text-based content relevant to a user's query from a large repository, with applications in real-world scenarios such as legal document retrieval. While most existing studies focus on English, limit
Externí odkaz:
http://arxiv.org/abs/2412.13205
Autor:
Nguyen, Quang Vinh, Son, Vo Hoang Thanh, Hoang, Chau Truong Vinh, Nguyen, Duc Duy, Minh, Nhat Huy Nguyen, Kim, Soo-Hyung
Naturalistic driving action localization task aims to recognize and comprehend human behaviors and actions from video data captured during real-world driving scenarios. Previous studies have shown great action localization performance by applying a r
Externí odkaz:
http://arxiv.org/abs/2411.12525
This paper concerns the numerical approximation for the invariant distribution of Markovian switching L\'evy-driven stochastic differential equations. By combining the tamed-adaptive Euler-Maruyama scheme with the Multi-level Monte Carlo method, we p
Externí odkaz:
http://arxiv.org/abs/2411.04081
Autor:
Pham, Loc Bao, Luong, Huong Hoang, Tran, Phu Thien, Ngo, Phuc Hoang, Nguyen, Vi Hoang, Nguyen, Thinh
Publikováno v:
An approach to hummed tune and song sequences matching Communications in Computer and Information Science (2022) 690-697
Melody stuck in your head, also known as "earworm", is tough to get rid of, unless you listen to it again or sing it out loud. But what if you can not find the name of that song? It must be an intolerable feeling. Recognizing a song name base on humm
Externí odkaz:
http://arxiv.org/abs/2410.20352
Despite recent progress, Multi-Object Tracking (MOT) continues to face significant challenges, particularly its dependence on prior knowledge and predefined categories, complicating the tracking of unfamiliar objects. Generic Multiple Object Tracking
Externí odkaz:
http://arxiv.org/abs/2410.09243
Autor:
Hoang, Van Thuy, Lee, O-Joun
This study aims to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in acquiring labeled molecules, the previous pre-t
Externí odkaz:
http://arxiv.org/abs/2412.15589
We update a previous N$^3$LL$^\prime$+${\cal O}(\alpha_s^3)$ determination of the strong coupling from a global fit to thrust data by including newly available perturbative ingredients, upgrading the renormalization scales to include a fully canonica
Externí odkaz:
http://arxiv.org/abs/2412.15164
We propose a new view synthesis method via synthesizing a 3D neural field from both single or few-view input images. To address the ill-posed nature of the image-to-3D generation problem, we devise a two-stage method that involves a reconstruction mo
Externí odkaz:
http://arxiv.org/abs/2412.14464