2,698 results for domain:feishu.cn 中国电信肇源分公司

arxiv.org/abs/2305.18729v3

Real-World Image Variation by Aligning Diffusion Inversion Chain

Recent diffusion model advancements have enabled high-fidelity images to be generated using text prompts. However, a domain gap exists between generated images and real-world images, which poses a challenge in generating high-quality variations of re...

arxiv.org/abs/2101.00930v1

Lassie: HOL4 Tactics by Example

Proof engineering efforts using interactive theorem proving have yielded several impressive projects in software systems and mathematics. A key obstacle to such efforts is the requirement that the domain expert is also an expert in the low-level deta...

arxiv.org/abs/1301.0710v2

Hölder continuous solutions to complex Hessian equations

We prove the Hölder continuity of the solution to complex Hessian equation with the right hand side in $L^p$, $p>\frac{n}{m}$, $1< m< n$, in a $m$-strongly pseudoconvex domain in $\mathbb{C}^n$ under some additional conditions on the density near th...

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arxiv.org/abs/2411.05514v1

Towards Scalable Foundation Models for Digital Dermatology

The growing demand for accurate and equitable AI models in digital dermatology faces a significant challenge: the lack of diverse, high-quality labeled data. In this work, we investigate the potential of domain-specific foundation models for dermatol...

arxiv.org/abs/2305.12621v4

DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images

In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis. However, existing datasets in this domain have significant limitations, including a small number of image samples, limited disease conditions...

github.com/openfootball/deutschland

openfootball/deutschland

Free open public domain football data for Germany (Deutschland) incl. Deutsche Bundesliga, 2. Bundesliga, 3. Liga, DFB Pokal etc. (⭐ 75)

arxiv.org/abs/1303.5242v5

Holomorphic maps with large images

We show that each pseudoconvex domain $Ω\subset {\mathbb C}^n$ admits a holomorphic map $F$ to ${\mathbb C}^m$ with $|F|\le C_1 e^{C_2 \hatδ^{-6}}$, where $\hatδ$ is the minimum of the boundary distance and $(1+|z|^2)^{-1/2}$, such that every boun...

arxiv.org/abs/2104.03446v2

Functional L-Optimality Subsampling for Massive Data

Massive data bring the big challenges of memory and computation for analysis. These challenges can be tackled by taking subsamples from the full data as a surrogate. For functional data, it is common to collect multiple measurements over their domain...

arxiv.org/abs/2008.07400v3

Differences between Robin and Neumann eigenvalues

Let $Ω\subset \mathbb R^2$ be a bounded planar domain, with piecewise smooth boundary $\partial Ω$. For $σ>0$, we consider the Robin boundary value problem \[ -Δf =λf, \qquad \frac{\partial f}{\partial n} + σf = 0 \mbox{ on } \partial Ω\] wh...