Results 51 to 60 of about 87,580 (294)

GenN2N: Generative NeRF2NeRF Translation

open access: yes2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc. Unlike previous methods designed for individual translation tasks with task-specific schemes, GenN2N achieves all these NeRF editing tasks by employing a plug-and-play ...
Xiangyue Liu 0001   +4 more
openaire   +2 more sources

Analogical Image Translation for Fog Generation

open access: yesCoRR, 2020
18 pages, 9 figures, 7 ...
Gong, Rui   +4 more
openaire   +4 more sources

On estimates for the Jacobi transform in the space $L^{p}(\mathbb{R}^{+}, J^{\alpha,\beta}(x)dx)$

open access: yesKarpatsʹkì Matematičnì Publìkacìï, 2015
In this paper, we prove the estimates for the Jacobi transform in $L^{p}(\mathbb{R}^{+}, J^{\alpha,\beta}(x)dx)$ as applied to some classes of functions characterized by a generalized modulus of continuity.
S. El Ouadih, R. Daher
doaj   +1 more source

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

open access: yesMolecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski   +10 more
wiley   +1 more source

Machine translation by case generalization [PDF]

open access: yesProceedings of the 14th conference on Computational linguistics -, 1992
Case-based machine translation is a promising approach to resolving problems in rule-based machine translation systems, such as difficulties in control of rules and low adaptability to specific domains. We propose a new mechanism for case-based machine translation, in which a large set of cases is generalized into a smaller set of cases by using a ...
openaire   +2 more sources

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

open access: yesFEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Solving headswitching translation cases in LFG-DOT [PDF]

open access: yes, 2001
It has been shown that LFG-MT (Kaplan et al., 1989) has difficulties with Headswitching data (Sadler et al., 1989, 1990; Sadler & Thompson, 1991). We revisit these arguments in this paper. Despite attempts at solving these problematic constructions using
Way, Andy
core  

Development of an Enhanced BP Neural Network-Based English Translation Evaluation System Integrating GLR Algorithm for Automated Judgment

open access: yesJournal of Applied Science and Engineering
The study proposes an enhanced English Translation Scoring System (ETSS) using an improved Generalized Maximum Probability Ratio (GLR) algorithm and an expanded BP neural network to improve translation evaluation accuracy. The system incorporates a three-
Bing Yang
doaj   +1 more source

$(\delta, \gamma)$-Dunkl Lipschitz functions in the space $\mathrm{L}^{2}(\mathbb{R}, |x|^{2\alpha+1}dx)$

open access: yesKarpatsʹkì Matematičnì Publìkacìï, 2014
Using a generalized Dunkl translation, we obtain an analog of Theorem 5.2 in Younis' paper [2] for the Dunkl transform for functions satisfying the $(\delta, \gamma)$-Dunkl Lipschitz condition in the space $\mathrm{L}^{2}(\mathbb{R}, |x|^{2\alpha+1}dx)$.}
M. El Hamma, H. Lahlali, R. Daher
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

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