Zobrazeno 1 - 10
of 1 771
pro vyhledávání: '"Huynh Van A"'
Autor:
Dinh, Tai, Hauchi, Wong, Fournier-Viger, Philippe, Lisik, Daniil, Ha, Minh-Quyet, Dam, Hieu-Chi, Huynh, Van-Nam
The clustering of categorical data is a common and important task in computer science, offering profound implications across a spectrum of applications. Unlike purely numerical data, categorical data often lack inherent ordering as in nominal data, o
Externí odkaz:
http://arxiv.org/abs/2408.17244
Imaging coupled vibrational, rotational, and electronic wave packet dynamics in a triatomic molecule
Autor:
Lam, Huynh Van Sa, Hoang, Van-Hung, Venkatachalam, Anbu Selvam, Bhattacharyya, Surjendu, Chen, Keyu, Jacob, Sina, Kudagama, Sanduni, Nguyen, Tu Thanh, Rolles, Daniel, Thumm, Uwe, Rudenko, Artem, Kumarappan, Vinod
Molecular dynamics triggered by interaction with light often involve the excitation of several electronic, vibrational, and rotational states. Characterizing the resulting coupled electronic and nuclear wave packet motion represents a severe challeng
Externí odkaz:
http://arxiv.org/abs/2408.07958
Differentiating Three-Dimensional Molecular Structures using Laser-induced Coulomb Explosion Imaging
Autor:
Lam, Huynh Van Sa, Venkatachalam, Anbu Selvam, Bhattacharyya, Surjendu, Chen, Keyu, Borne, Kurtis, Wang, Enliang, Boll, Rebecca, Jahnke, Till, Kumarappan, Vinod, Rudenko, Artem, Rolles, Daniel
Publikováno v:
Phys. Rev. Lett. 132, 123201 (2024)
Coulomb explosion imaging (CEI) with x-ray free electron lasers has recently been shown to be a powerful method for obtaining detailed structural information of gas-phase planar ring molecules [R. Boll et al. Nat. Phys. 18, 423-428 (2022)]. In this L
Externí odkaz:
http://arxiv.org/abs/2408.08389
Autor:
Jahnke, Till, Mai, Sebastian, Bhattacharyya, Surjendu, Chen, Keyu, Boll, Rebecca, Castellani, Maria Elena, Dold, Simon, Duley, Avijit, Frühling, Ulrike, Green, Alice E., Ilchen, Markus, Ingle, Rebecca, Kastirke, Gregor, Lam, Huynh Van Sa, Lever, Fabiano, Mayer, Dennis, Mazza, Tommaso, Mullins, Terence, Ovcharenko, Yevheniy, Senfftleben, Björn, Trinter, Florian, Noor, Atia Tul, Usenko, Sergey, Venkatachalam, Anbu Selvam, Rudenko, Artem, Rolles, Daniel, Meyer, Michael, Ibrahim, Heide, Gühr, Markus
Molecular photoabsorption results in an electronic excitation/ionization which couples to the rearrangement of the nuclei. The resulting intertwined change of nuclear and electronic degrees of freedom determines the conversion of photoenergy into oth
Externí odkaz:
http://arxiv.org/abs/2405.15367
Colonoscopy is a common and practical method for detecting and treating polyps. Segmenting polyps from colonoscopy image is useful for diagnosis and surgery progress. Nevertheless, achieving excellent segmentation performance is still difficult becau
Externí odkaz:
http://arxiv.org/abs/2405.07523
Autor:
Wang, Enliang, Bhattacharyya, Surjendu, Chen, Keyu, Borne, Kurtis, Ziaee, Farzaneh, Pathak, Shashank, Lam, Huynh Van Sa, Venkatachalam, Anbu Selvam, Chen, Xiangjun, Boll, Rebecca, Jahnke, Till, Rudenko, Artem, Rolles, Daniel
Following the changes in molecular structure throughout the entirety of a chemical reaction with atomic resolution is a long-term goal in femtochemistry. Although the development of a plethora of ultrafast technique has enabled detailed investigation
Externí odkaz:
http://arxiv.org/abs/2311.05099
Autor:
Tu, Vu Ngoc, Huynh, Van Thong, Yang, Hyung-Jeong, Zaheer, M. Zaigham, Nawaz, Shah, Nandakumar, Karthik, Kim, Soo-Hyung
Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversation. This task arises as a crucial pursuit to gain insights into human'
Externí odkaz:
http://arxiv.org/abs/2308.01966
This paper presents an efficient Multi-scale Transformer-based approach for the task of Emotion recognition from Physiological data, which has gained widespread attention in the research community due to the vast amount of information that can be ext
Externí odkaz:
http://arxiv.org/abs/2305.00769
Facial Action Units detection (FAUs) represents a fine-grained classification problem that involves identifying different units on the human face, as defined by the Facial Action Coding System. In this paper, we present a simple yet efficient Vision
Externí odkaz:
http://arxiv.org/abs/2303.09917
Publikováno v:
Mach Learn (2023)
Conventional rule learning algorithms aim at finding a set of simple rules, where each rule covers as many examples as possible. In this paper, we argue that the rules found in this way may not be the optimal explanations for each of the examples the
Externí odkaz:
http://arxiv.org/abs/2301.09936