Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Xiyang Luo"'
Autor:
Hossein Talebi, Dorado Ignacio Garcia, Michael Elad, Damien Kelly, Feng Yang, Peyman Milanfar, Xiyang Luo
Publikováno v:
IEEE Transactions on Image Processing. 30:6673-6685
Could we compress images via standard codecs while avoiding visible artifacts? The answer is obvious -- this is doable as long as the bit budget is generous enough. What if the allocated bit-rate for compression is insufficient? Then unfortunately, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a68de4f1115ffc193d1159a94ed8d37
https://doi.org/10.1109/tip.2021.3096085
https://doi.org/10.1109/tip.2021.3096085
Autor:
Xiyang Luo, Wout Bittremieux, Johannes Griss, Eric W Deutsch, Timo Sachsenberg, Lev I. Levitsky, Mark V. Ivanov, Julia A. Bubis, Ralf Gabriels, Henry Webel, Aniel Sanchez, Mingze Bai, Lukas Kall, Yasset Perez-Riverol
Publikováno v:
Luo, X, Bittremieux, W, Griss, J, Deutsch, E W, Sachsenberg, T, Levitsky, L I, Ivanov, M V, Bubis, J A, Gabriels, R, Webel, H, Sanchez, A, Bai, M, Käll, L & Perez-Riverol, Y 2022, ' A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics ', Journal of Proteome Research, vol. 21, no. 6, pp. 1566-1574 . https://doi.org/10.1021/acs.jproteome.2c00069
Spectrum clustering is a powerful strategy to minimize redundant mass spectral data by grouping highly similar mass spectra corresponding to repeatedly measured analytes. Based on spectrum similarity, near-identical spectra are grouped in clusters, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cfeec950c47b1fe9f7746cb9c9940ae
https://doi.org/10.1101/2022.01.25.477699
https://doi.org/10.1101/2022.01.25.477699
Publikováno v:
DCC
Handling digital images is almost always accompanied by a lossy compression in order to facilitate efficient transmission and storage. This introduces an unavoidable tension between the allocated bit-budget (rate) and the faithfulness of the resultin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b29e662bf2471082fe488f5c61023529
https://doi.org/10.1109/dcc50243.2021.00049
https://doi.org/10.1109/dcc50243.2021.00049
Video watermarking embeds a message into a cover video in an imperceptible manner, which can be retrieved even if the video undergoes certain modifications or distortions. Traditional watermarking methods are often manually designed for particular ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a80984d0369fa5a68ba04a2fbd7d0267
Digital watermarking is widely used for copyright protection. Traditional 3D watermarking approaches or commercial software are typically designed to embed messages into 3D meshes, and later retrieve the messages directly from distorted/undistorted w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c6bcecf101b5f73cc9febbd5903a532
Autor:
Weimin Zhu, Yasset Perez-Riverol, Johannes Griss, Xiyang Luo, Chunyuan Qin, Kunxian Shu, Henning Hermjakob, Mingze Bai, Chuan Deng
Publikováno v:
J Proteomics
Spectral similarity calculation is widely used in protein identification tools and mass spectra clustering algorithms while comparing theoretical or experimental spectra. The performance of the spectral similarity calculation plays an important role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e689706ec04ccf31d46334be77bb78b
https://europepmc.org/articles/PMC7613299/
https://europepmc.org/articles/PMC7613299/
Publikováno v:
CVPR
Graphics Interchange Format (GIF) is a widely used image file format. Due to the limited number of palette colors, GIF encoding often introduces color banding artifacts. Traditionally, dithering is applied to reduce color banding, but introducing dot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15e3a8d068a1b39c2d469c4622d9d1e8
Publikováno v:
CVPR
Watermarking is the process of embedding information into an image that can survive under distortions, while requiring the encoded image to have little or no perceptual difference with the original image. Recently, deep learning-based methods achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdda07b3641e29faac46bfd4429d3b58
Autor:
Andrea L. Bertozzi, Xiyang Luo
Publikováno v:
Luo, X; & Bertozzi, AL. (2017). Convergence of the Graph Allen–Cahn Scheme. Journal of Statistical Physics, 167(3-4), 934-958. doi: 10.1007/s10955-017-1772-4. UCLA: Retrieved from: http://www.escholarship.org/uc/item/9wg9n9m3
Journal of Statistical Physics, vol 167, iss 3-4
Journal of Statistical Physics, vol 167, iss 3-4
The graph Laplacian and the graph cut problem are closely related to Markov random fields, and have many applications in clustering and image segmentation. The diffuse interface model is widely used for modeling in material science, and can also be u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72a465715b8f22d5b5c3f4beeabd74e2
https://doi.org/10.1007/s10955-017-1772-4
https://doi.org/10.1007/s10955-017-1772-4
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030218027
WCGO
WCGO
We study epidemic forecasting on real-world health data by a graph-structured recurrent neural network (GSRNN). We achieve state-of-the-art forecasting accuracy on the benchmark CDC dataset. To improve model efficiency, we sparsify the network weight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e36d86b95cc6c46b8afbf7b97c886d9e
https://doi.org/10.1007/978-3-030-21803-4_73
https://doi.org/10.1007/978-3-030-21803-4_73