Zobrazeno 1 - 10
of 81 768
pro vyhledávání: '"To, Jocelyn"'
Change detection (CD) is a critical remote sensing technique for identifying changes in the Earth's surface over time. The outstanding substance identifiability of hyperspectral images (HSIs) has significantly enhanced the detection accuracy, making
Externí odkaz:
http://arxiv.org/abs/2411.07608
Autor:
Mendes, Jocelyn L., Shin, Hyun Jun, Seo, Jae Yeon, Lee, Nara, Choi, Young Jai, Varley, Joel B., Cushing, Scott K.
Controlling the effects of photoexcited polarons in transition metal oxides can enable the long timescale charge separation necessary for renewable energy applications as well as controlling new quantum phases through dynamically tunable electron-pho
Externí odkaz:
http://arxiv.org/abs/2411.00770
Autor:
Lei, Xiaofeng, Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Feng, Yangqin, Bai, Yang, Da Soh, Zhi, Goh, Rick Siow Mong, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu
Community vision screening plays a crucial role in identifying individuals with vision loss and preventing avoidable blindness, particularly in rural communities where access to eye care services is limited. Currently, there is a pressing need for a
Externí odkaz:
http://arxiv.org/abs/2410.20309
Autor:
Daniel, Kathryne J., Smith, Joshua R., Ballmer, Stefan, Bristol, Warren, Driggers, Jennifer C., Effler, Anamaria, Evans, Matthew, Hoover, Joseph, Kuns, Kevin, Landry, Michael, Lovelace, Geoffrey, Lukinbeal, Chris, Mandic, Vuk, Pham, Kiet, Read, Jocelyn, Russell, Joshua B., Schiettekatte, Francois, Schofield, Robert M. S., Scholz, Christopher A., Shoemaker, David H., Sledge, Piper, Strunk, Amber
Cosmic Explorer (CE) is a next-generation ground-based gravitational-wave observatory that is being designed in the 2020s and is envisioned to begin operations in the 2030s together with the Einstein Telescope in Europe. The CE concept currently cons
Externí odkaz:
http://arxiv.org/abs/2410.00293
Autor:
Ding, Mucong, Deng, Chenghao, Choo, Jocelyn, Wu, Zichu, Agrawal, Aakriti, Schwarzschild, Avi, Zhou, Tianyi, Goldstein, Tom, Langford, John, Anandkumar, Anima, Huang, Furong
While generalization over tasks from easy to hard is crucial to profile language models (LLMs), the datasets with fine-grained difficulty annotations for each problem across a broad range of complexity are still blank. Aiming to address this limitati
Externí odkaz:
http://arxiv.org/abs/2409.18433
Machine learning models often struggle with distribution shifts in real-world scenarios, whereas humans exhibit robust adaptation. Models that better align with human perception may achieve higher out-of-distribution generalization. In this study, we
Externí odkaz:
http://arxiv.org/abs/2409.05817
Autor:
Loranger, Scott, Runnebaum, Jocelyn
Publikováno v:
Oceanography, 2024 Sep 01. 37(3), 85-88.
Externí odkaz:
https://www.jstor.org/stable/27333929
Autor:
Monga, Munish, Giroh, Sachin Kumar, Jha, Ankit, Singha, Mainak, Banerjee, Biplab, Chanussot, Jocelyn
Multi-Target Domain Adaptation (MTDA) entails learning domain-invariant information from a single source domain and applying it to multiple unlabeled target domains. Yet, existing MTDA methods predominantly focus on addressing domain shifts within vi
Externí odkaz:
http://arxiv.org/abs/2409.00397
Autor:
Díaz, Camila, Dunstan, Jocelyn, Etcheverry, Lorena, Fonck, Antonia, Grez, Alejandro, Mery, Domingo, Reutter, Juan, Rojas, Hugo
We present our results regarding the automatic construction of a knowledge graph from historical documents related to the Chilean dictatorship period (1973-1990). Our approach consists on using LLMs to automatically recognize entities and relations b
Externí odkaz:
http://arxiv.org/abs/2408.11975
Autor:
Minini, Jocelyn, Wasem, Micha
Using generating functions, we are proposing a unified approach to produce explicit formulas, which count the number of nodes in Smolyak grids based on various univariate quadrature or interpolation rules. Our approach yields, for instance, a new for
Externí odkaz:
http://arxiv.org/abs/2408.09809