Zobrazeno 1 - 10
of 8 537
pro vyhledávání: '"Han Bo"'
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 6, Pp 1-19 (2023)
Continuous SiC fiber reinforced titanium matrix（SiCf/Ti）composite exhibiting high specific strength，high specific modulus and high temperature resistance，shows important application prospects in the aerospace field. In this paper，the develo
Externí odkaz:
https://doaj.org/article/4451207b7ffb473c8d4b16feec93f4d9
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In the context of rural revitalization strategy, this paper uses an adaptive density-sensitive similarity measure method to improve based on a spectral clustering algorithm and combines with coordinate visualization technology to cluster rural infras
Externí odkaz:
https://doaj.org/article/6be841e5c8564acd8d1eab9b26025dc2
The success of deep neural networks has driven numerous research studies and applications from Euclidean to non-Euclidean data. However, there are increasing concerns about privacy leakage, as these networks rely on processing private data. Recently,
Externí odkaz:
http://arxiv.org/abs/2411.10023
Text-to-image diffusion model is a popular paradigm that synthesizes personalized images by providing a text prompt and a random Gaussian noise. While people observe that some noises are ``golden noises'' that can achieve better text-image alignment
Externí odkaz:
http://arxiv.org/abs/2411.09502
Out-of-distribution (OOD) detection is crucial for deploying reliable machine learning models in open-world applications. Recent advances in CLIP-based OOD detection have shown promising results via regularizing prompt tuning with OOD features extrac
Externí odkaz:
http://arxiv.org/abs/2411.03359
This paper investigates an under-explored challenge in large language models (LLMs): chain-of-thought prompting with noisy rationales, which include irrelevant or inaccurate reasoning thoughts within examples used for in-context learning. We construc
Externí odkaz:
http://arxiv.org/abs/2410.23856
Autor:
Tang, Zhenheng, Zhang, Yonggang, Dong, Peijie, Cheung, Yiu-ming, Zhou, Amelie Chi, Han, Bo, Chu, Xiaowen
One-shot Federated Learning (OFL) significantly reduces communication costs in FL by aggregating trained models only once. However, the performance of advanced OFL methods is far behind the normal FL. In this work, we provide a causal view to find th
Externí odkaz:
http://arxiv.org/abs/2410.20380
Out-of-distribution (OOD) detection aims to identify OOD inputs from unknown classes, which is important for the reliable deployment of machine learning models in the open world. Various scoring functions are proposed to distinguish it from in-distri
Externí odkaz:
http://arxiv.org/abs/2410.18472
Spectral variation is a common problem for hyperspectral image (HSI) representation. Low-rank tensor representation is an important approach to alleviate spectral variations. However, the spatial distribution of the HSI is always irregular, while the
Externí odkaz:
http://arxiv.org/abs/2410.18388
In cross-domain few-shot classification (CFC), recent works mainly focus on adapting a simple transformation head on top of a frozen pre-trained backbone with few labeled data to project embeddings into a task-specific metric space where classificati
Externí odkaz:
http://arxiv.org/abs/2410.12474