Zobrazeno 1 - 10
of 403 083
pro vyhledávání: '"Man AT"'
Optimization over Stiefel manifolds has found wide applications in many scientific and engineering domains. Despite considerable research effort, high-dimensional optimization problems over Stiefel manifolds remain challenging, and the situation is e
Externí odkaz:
http://arxiv.org/abs/2409.01770
Hyperspectral image (HSI) classification involves assigning unique labels to each pixel to identify various land cover categories. While deep classifiers have achieved high predictive accuracy in this field, they lack the ability to rigorously quanti
Externí odkaz:
http://arxiv.org/abs/2409.01236
Autor:
Cao, Tri, Trinh, Minh-Huy, Deng, Ailin, Nguyen, Quoc-Nam, Duong, Khoa, Cheung, Ngai-Man, Hooi, Bryan
Anomaly detection (AD) is a machine learning task that identifies anomalies by learning patterns from normal training data. In many real-world scenarios, anomalies vary in severity, from minor anomalies with little risk to severe abnormalities requir
Externí odkaz:
http://arxiv.org/abs/2411.14515
Large language models have gained widespread popularity for their ability to process natural language inputs and generate insights derived from their training data, nearing the qualities of true artificial intelligence. This advancement has prompted
Externí odkaz:
http://arxiv.org/abs/2411.14513
Let $\mu$ be a compactly supported positive finite Borel measure on $\R^{d}$. Let $0<\lambda_{1}\leq\lambda_{2}\leq\ldots$ be eigenvalues of the Kre$\breve{{\i}}$n-Feller operator $\Delta_{\mu}$. We prove that, on a bounded domain, the nodal set of a
Externí odkaz:
http://arxiv.org/abs/2411.14173
Publikováno v:
Phys. Rev. B 110, 195121 (2024)
While the conducting CuO$_2$ planes in cuprate superconductors have been widely recognized as a crucial component in producing high superconducting $T_\text{c}$, recent experimental and theoretical studies on Ba$_{2-x}$Sr$_x$CuO$_{3+}$$_\delta$ have
Externí odkaz:
http://arxiv.org/abs/2411.13301
Autor:
Nath, Vishwesh, Li, Wenqi, Yang, Dong, Myronenko, Andriy, Zheng, Mingxin, Lu, Yao, Liu, Zhijian, Yin, Hongxu, Law, Yee Man, Tang, Yucheng, Guo, Pengfei, Zhao, Can, Xu, Ziyue, He, Yufan, Heinrich, Greg, Aylward, Stephen, Edgar, Marc, Zephyr, Michael, Molchanov, Pavlo, Turkbey, Baris, Roth, Holger, Xu, Daguang
Generalist vision language models (VLMs) have made significant strides in computer vision, but they fall short in specialized fields like healthcare, where expert knowledge is essential. In traditional computer vision tasks, creative or approximate a
Externí odkaz:
http://arxiv.org/abs/2411.12915
The advancements in large language models (LLMs) have propelled the improvement of video understanding tasks by incorporating LLMs with visual models. However, most existing LLM-based models (e.g., VideoLLaMA, VideoChat) are constrained to processing
Externí odkaz:
http://arxiv.org/abs/2411.12593
Blind image restoration remains a significant challenge in low-level vision tasks. Recently, denoising diffusion models have shown remarkable performance in image synthesis. Guided diffusion models, leveraging the potent generative priors of pre-trai
Externí odkaz:
http://arxiv.org/abs/2411.12450
Autor:
De Man, Quinten, Dhulipala, Laxman, Karczmarz, Adam, Łącki, Jakub, Shun, Julian, Wang, Zhongqi
We study the problem of dynamically maintaining the connected components of an undirected graph subject to edge insertions and deletions. We give the first parallel algorithm for the problem which is work-efficient, supports batches of updates, runs
Externí odkaz:
http://arxiv.org/abs/2411.11781