Zobrazeno 1 - 10
of 62 597
pro vyhledávání: '"A Ham"'
Neural architecture search (NAS) enables finding the best-performing architecture from a search space automatically. Most NAS methods exploit an over-parameterized network (i.e., a supernet) containing all possible architectures (i.e., subnets) in th
Externí odkaz:
http://arxiv.org/abs/2412.14678
Publikováno v:
Expert Systems with Applications 2025
We introduce a new framework, dubbed Cerberus, for attribute-based person re-identification (reID). Our approach leverages person attribute labels to learn local and global person representations that encode specific traits, such as gender and clothi
Externí odkaz:
http://arxiv.org/abs/2412.01048
Many cellular processes involve information processing and decision making. We can probe these processes at increasing molecular detail. The analysis of heterogeneous data remains a challenge that requires new ways of thinking about cells in quantita
Externí odkaz:
http://arxiv.org/abs/2412.00667
Despite the growing interest in Mamba architecture as a potential replacement for Transformer architecture, parameter-efficient fine-tuning (PEFT) approaches for Mamba remain largely unexplored. In our study, we introduce two key insights-driven stra
Externí odkaz:
http://arxiv.org/abs/2411.15224
Autor:
Zhang, Minghao, Tantratian, Karnpiwat, Ham, So-Yeon, Wang, Zhuo, Chouchane, Mehdi, Shimizu, Ryosuke, Bai, Shuang, Yang, Hedi, Liu, Zhao, Li, Letian, Avishai, Amir, Chen, Lei, Meng, Ying Shirley
Soft metals like lithium and sodium play a critical role in battery technology owing to their high energy density. Texture formation by grain selection growth of soft metals during electrochemical processes is a crucial factor affecting power and saf
Externí odkaz:
http://arxiv.org/abs/2411.10839
Zero-shot anomaly detection (ZSAD) is crucial for detecting anomalous patterns in target datasets without using training samples, specifically in scenarios where there are distributional differences between the target domain and training data or wher
Externí odkaz:
http://arxiv.org/abs/2411.06071
We propose new methods for multivariate linear regression when the regression coefficient matrix is sparse and the error covariance matrix is dense. We assume that the error covariance matrix has equicorrelation across the response variables. Two pro
Externí odkaz:
http://arxiv.org/abs/2410.10025
Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming essential tools in various fields due to their ability to learn complex data distributions and generate synthetic data. Their importance in transportation research is incre
Externí odkaz:
http://arxiv.org/abs/2410.07066
Autor:
Ham, Byoung S.
Quantum entanglement between paired photons is the foundation of optical quantum computing, quantum sensing, and quantum networks. Traditionally, quantum information science has focused on the particle nature of photons at the microscopic scale, ofte
Externí odkaz:
http://arxiv.org/abs/2410.01198
Autor:
Wang, Pengyun, Huang, Ping, Jin, Yifan, Shen, Yanxin, Shahawy, Omar El, Ham, Dae Woong, O'Meara, Wendy P., Heng, Siyu
According to the WHO, in 2021, about 32% of pregnant women in sub-Saharan Africa were infected with malaria during pregnancy. Malaria infection during pregnancy can cause various adverse birth outcomes such as low birthweight. Over the past two decad
Externí odkaz:
http://arxiv.org/abs/2409.19314