Zobrazeno 1 - 10
of 20 430
pro vyhledávání: '"A. Raouf"'
This paper studies an online selection problem, where a seller seeks to sequentially sell multiple copies of an item to arriving buyers. We consider an adversarial setting, making no modeling assumptions about buyers' valuations for the items except
Externí odkaz:
http://arxiv.org/abs/2410.07378
The study was carried out during 2017 to 2019 growing seasons at four locations in Sulaimani governorate and one location in Halabja governorate, in the Iraqi Kurdistan region including SH, M, Q, B and H. A huge number almond trees were observed for
Externí odkaz:
http://arxiv.org/abs/2409.14345
We propose an end-to-end attribute compression method for dense point clouds. The proposed method combines a frequency sampling module, an adaptive scale feature extraction module with geometry assistance, and a global hyperprior entropy model. The f
Externí odkaz:
http://arxiv.org/abs/2409.10293
Autor:
Djeddal, Hanane, Erbacher, Pierre, Toukal, Raouf, Soulier, Laure, Pinel-Sauvagnat, Karen, Katrenko, Sophia, Tamine, Lynda
With the growing success of Large Language models (LLMs) in information-seeking scenarios, search engines are now adopting generative approaches to provide answers along with in-line citations as attribution. While existing work focuses mainly on att
Externí odkaz:
http://arxiv.org/abs/2409.08014
Autor:
Tang, Jiaxang, Fayyaz, Zeshan, Salahuddin, Mohammad A., Boutaba, Raouf, Zhang, Zhi-Li, Anwar, Ali
Federated Learning is a well-researched approach for collaboratively training machine learning models across decentralized data while preserving privacy. However, integrating Homomorphic Encryption to ensure data confidentiality introduces significan
Externí odkaz:
http://arxiv.org/abs/2409.07631
Autor:
Hesar, Fatemeh Fazel, Foing, Bernard, Heras, Ana M., Raouf, Mojtaba, Foing, Victoria, Javanmardi, Shima, Verbeek, Fons J.
This study applied machine learning models to estimate stellar rotation periods from corrected light curve data obtained by the NASA Kepler mission. Traditional methods often struggle to estimate rotation periods accurately due to noise and variabili
Externí odkaz:
http://arxiv.org/abs/2409.05482
Machine vision systems, which can efficiently manage extensive visual perception tasks, are becoming increasingly popular in industrial production and daily life. Due to the challenge of simultaneously obtaining accurate depth and texture information
Externí odkaz:
http://arxiv.org/abs/2409.04123
Autor:
Sulaiman, Muhammad, Ahmadi, Mahdieh, Sun, Bo, Saha, Niloy, Salahuddin, Mohammad A., Boutaba, Raouf, Saleh, Aladdin
A pivotal attribute of 5G networks is their capability to cater to diverse application requirements. This is achieved by creating logically isolated virtual networks, or slices, with distinct service level agreements (SLAs) tailored to specific use c
Externí odkaz:
http://arxiv.org/abs/2407.18342
In many applications, including surveillance, entertainment, and restoration, there is a need to increase both the spatial resolution and the frame rate of a video sequence. The aim is to improve visual quality, refine details, and create a more real
Externí odkaz:
http://arxiv.org/abs/2407.16965
Publikováno v:
IEEE Signal Processing Letters, 2024
In point cloud geometry compression, most octreebased context models use the cross-entropy between the onehot encoding of node occupancy and the probability distribution predicted by the context model as the loss. This approach converts the problem o
Externí odkaz:
http://arxiv.org/abs/2407.08528