Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Nguyễn Thế Quân"'
Autor:
Nguyen, Hoang-Quan, Nguyen, Xuan-Bac, Churchill, Hugh, Choudhary, Arabinda Kumar, Sinha, Pawan, Khan, Samee U., Luu, Khoa
Vision-brain understanding aims to extract semantic information about brain signals from human perceptions. Existing deep learning methods for vision-brain understanding are usually introduced in a traditional learning paradigm missing the ability to
Externí odkaz:
http://arxiv.org/abs/2411.13378
Quantum computing has emerged as a powerful tool for solving complex problems intractable for classical computers, particularly in popular fields such as cryptography, optimization, and neurocomputing. In this paper, we present a new quantum-based ap
Externí odkaz:
http://arxiv.org/abs/2408.03596
Autor:
Nguyen, Dong Quan Ngoc
In the first part of this paper, we develop a general framework that permits a comparison between explicit class field theories for a family of rational function fields $\mathbb{F}_s(t)$ over arbitrary constant fields $\mathbb{F}_s$ and explicit clas
Externí odkaz:
http://arxiv.org/abs/2408.02158
This paper examines the pricing issue of margin-call stock loans with finite maturities under the Black-Scholes-Merton framework. In particular, using a Fourier Sine transform method, we reduce the partial differential equation governing the price of
Externí odkaz:
http://arxiv.org/abs/2407.14728
Autor:
Nguyen, Hoang-Quan, Nguyen, Xuan Bac, Chen, Samuel Yen-Chi, Churchill, Hugh, Borys, Nicholas, Khan, Samee U., Luu, Khoa
Parameterized Quantum Circuits (PQCs) have been acknowledged as a leading strategy to utilize near-term quantum advantages in multiple problems, including machine learning and combinatorial optimization. When applied to specific tasks, the parameters
Externí odkaz:
http://arxiv.org/abs/2406.00843
Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigat
Externí odkaz:
http://arxiv.org/abs/2405.19725
Autor:
Nguyen, Xuan-Bac, Nguyen, Hoang-Quan, Chen, Samuel Yen-Chi, Khan, Samee U., Churchill, Hugh, Luu, Khoa
Unsupervised vision clustering, a cornerstone in computer vision, has been studied for decades, yielding significant outcomes across numerous vision tasks. However, these algorithms involve substantial computational demands when confronted with vast
Externí odkaz:
http://arxiv.org/abs/2405.19722
In recent years, Large Language Models (LLMs) have become integrated into our daily lives, serving as invaluable assistants in completing tasks. Widely embraced by users, the abuse of LLMs is inevitable, particularly in using them to generate text co
Externí odkaz:
http://arxiv.org/abs/2405.03206
Action recognition has become one of the popular research topics in computer vision. There are various methods based on Convolutional Networks and self-attention mechanisms as Transformers to solve both spatial and temporal dimensions problems of act
Externí odkaz:
http://arxiv.org/abs/2405.01337
In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield. The current machine vision model requires a large volume of data to achieve high perfo
Externí odkaz:
http://arxiv.org/abs/2311.15206