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pro vyhledávání: '"Jou, A"'
The cost of errors related to machine learning classifiers, namely, false positives and false negatives, are not equal and are application dependent. For example, in cybersecurity applications, the cost of not detecting an attack is very different fr
Externí odkaz:
http://arxiv.org/abs/2407.14664
Autor:
Huang, Yin Jou, Hadfi, Rafik
Psychological evidence reveals the influence of personality traits on decision-making. For instance, agreeableness is generally associated with positive outcomes in negotiations, whereas neuroticism is often linked to less favorable outcomes. This pa
Externí odkaz:
http://arxiv.org/abs/2407.11549
Autor:
Kuo, Jou-Chun, Shibata, Yoshihiro
We prove the $L_1$ in time and $B^{s+1}_{q,1}\times B^s_{q,1}$ in space maximal regularity for the Stokes equations in the viscous compressible fluid flows in domains in the $N$ dimensional Euclidean space $R^N$ whose boundary is $C^3$ compact hypers
Externí odkaz:
http://arxiv.org/abs/2407.12252
In this work, we employ two AMR-enhanced semantic representations for ICL on RE: one that explores the AMR structure generated for a sentence at the subgraph level (shortest AMR path), and another that explores the full AMR structure generated for a
Externí odkaz:
http://arxiv.org/abs/2406.10432
Autor:
Kim, Gwanghyun, Martinez, Alonso, Su, Yu-Chuan, Jou, Brendan, Lezama, José, Gupta, Agrim, Yu, Lijun, Jiang, Lu, Jansen, Aren, Walker, Jacob, Somandepalli, Krishna
Training diffusion models for audiovisual sequences allows for a range of generation tasks by learning conditional distributions of various input-output combinations of the two modalities. Nevertheless, this strategy often requires training a separat
Externí odkaz:
http://arxiv.org/abs/2405.13762
Autor:
Kuo, Jou-Chun
In this paper, we consider the compressible Stokes equations with non-slip boundary conditions in the half space $\mathbb{R}^N_{+}$, which is a linearized system of the Navier-Stokes equations describing compressible viscous fluid motion. We prove th
Externí odkaz:
http://arxiv.org/abs/2403.01424
Humans pay careful attention to the interlocutor's internal state in dialogues. For example, in recommendation dialogues, we make recommendations while estimating the seeker's internal state, such as his/her level of knowledge and interest. Since the
Externí odkaz:
http://arxiv.org/abs/2402.13522
Let $S\subseteq V(G)$ and $\pi_{G}(S)$ denote the maximum number $t$ of edge-disjoint paths $P_{1},P_{2},\ldots,P_{t}$ in a graph $G$ such that $V(P_{i})\cap V(P_{j})=S$ for any $i,j\in\{1,2,\ldots,t\}$ and $i\neq j$. If $S=V(G)$, then $\pi_{G}(S)$ i
Externí odkaz:
http://arxiv.org/abs/2401.13423
Autor:
Sun, Sheng-Yan, Li, Yu-Cheng, Chen, Shih-Hsuan, Wang, Kuan-Jou, Huang, Ching-Jui, Tsai, Tung-Ju, Kao, Wei-Ting, Hsu, Tzu-Liang, Li, Che-Ming
Fusing photon pairs creates an arena where indistinguishability can exist between two two-photon amplitudes contributing to the same joint photodetection event. This two-photon interference has been extensively utilized in creating multiphoton entang
Externí odkaz:
http://arxiv.org/abs/2401.03860
Learning feature correspondence is a foundational task in computer vision, holding immense importance for downstream applications such as visual odometry and 3D reconstruction. Despite recent progress in data-driven models, feature correspondence lea
Externí odkaz:
http://arxiv.org/abs/2312.02141