المؤلفون: Li, Siqi, Wang, Guobao

المصدر: IEEE Transactions on Medical Imaging. 41(11)

مصطلحات موضوعية: Computer Vision and Multimedia Computation, Information and Computing Sciences, Machine Learning, Bioengineering, Neurosciences, Humans, Image Processing, Computer-Assisted, Positron-Emission Tomography, Neural Networks, Computer, Tomography, X-Ray Computed, Computer Simulation, Kernel, Image reconstruction, Positron emission tomography, Neural networks, Feature extraction, Data models, Tomography, Dynamic PET, deep kernel learning, image reconstruction, kernel methods, neural networks, Engineering, Nuclear Medicine & Medical Imaging, Information and computing sciences

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/6f70b9r7Test

المؤلفون: Mani Valleti, Rama K Vasudevan, Maxim A Ziatdinov, Sergei V Kalinin

المصدر: Machine Learning: Science and Technology, Vol 5, Iss 1, p 015012 (2024)

مصطلحات موضوعية: deep kernel learning, process optimization, latent space, high-dimensional optimization, Bayesian optimization, ferroelectric kinetic model, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

العلاقة: https://doi.org/10.1088/2632-2153/ad1a4fTest; https://doaj.org/toc/2632-2153Test; https://doaj.org/article/57a07cfa897841468a1d6515f467bb03Test

الإتاحة: https://doi.org/10.1088/2632-2153/ad1a4fTest
https://doaj.org/article/57a07cfa897841468a1d6515f467bb03Test

المؤلفون: Nugraha, Aditya, Arie, Carlo, Diego, Di, Bando, Yoshiaki, Fontaine, Mathieu, Yoshii, Kazuyoshi

المساهمون: RIKEN Center for Advanced Intelligence Project Tokyo (RIKEN AIP), RIKEN - Institute of Physical and Chemical Research Japon (RIKEN), National Institute of Advanced Industrial Science and Technology (AIST), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom Paris (IMT)-Télécom Paris, Kyoto University, ANR-22-CE23-0011,SAROUMANE,Segmentation et regroupement de locuteurs via un modèle robuste unifié audio spatial et multimodal(2022)

المصدر: WASPAA ; https://hal.science/hal-04172863Test ; WASPAA, Oct 2023, New Paltz, France

مصطلحات موضوعية: Time-domain audio source separation Gaussian processes deep kernel learning, Time-domain audio source separation, Gaussian processes, deep kernel learning, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

جغرافية الموضوع: New Paltz, France

العلاقة: hal-04172863; https://hal.science/hal-04172863Test; https://hal.science/hal-04172863/documentTest; https://hal.science/hal-04172863/file/_WASPAA_23__Time_Domain_Audio_Source_Separation_Based_on_Gaussian_Processes_with_Deep_Kernel_Learning-1.pdfTest

الإتاحة: https://hal.science/hal-04172863Test
https://hal.science/hal-04172863/documentTest
https://hal.science/hal-04172863/file/_WASPAA_23__Time_Domain_Audio_Source_Separation_Based_on_Gaussian_Processes_with_Deep_Kernel_Learning-1.pdfTest

المؤلفون: Marlin Siebert, Jan Grasshoff, Philipp Rostalski

المصدر: IEEE Access, Vol 11, Pp 146173-146184 (2023)

مصطلحات موضوعية: Deep kernel learning, diabetic retinopathy, medical image processing, referral-based screening, uncertainty quantification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10360816Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/0f616588a950429db45c0f90cf246514Test

المؤلفون: Siebert Marlin, Tesmer Nikolay, Rostalski Philipp

المصدر: Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 408-411 (2022)

مصطلحات موضوعية: deep kernel learning, uncertainty quantification, diabetic retinopathy, medical image processing, deep learning, Medicine

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2364-5504Test

الوصول الحر: https://doaj.org/article/cac5125e2a42440bb80b613f82f52da2Test

المؤلفون: Chunpu Lv, Jingwei Huang, Ming Zhang, Huangang Wang, Tao Zhang

المصدر: Sensors, Vol 23, Iss 9, p 4392 (2023)

مصطلحات موضوعية: semi-supervised regression, active learning, deep kernel learning, virtual metrology, phase partition, phase match, Chemical technology, TP1-1185

العلاقة: https://www.mdpi.com/1424-8220/23/9/4392Test; https://doaj.org/toc/1424-8220Test; https://doaj.org/article/23ebb6b2537f40e4ae574fb09e9a86b1Test

الإتاحة: https://doi.org/10.3390/s23094392Test
https://doaj.org/article/23ebb6b2537f40e4ae574fb09e9a86b1Test

المؤلفون: Ke Wang, Qi Qiao, Gong Zhang, Yihan Xu

المصدر: IEEE Access, Vol 10, Pp 89534-89544 (2022)

مصطلحات موضوعية: Synthetic aperture radar (SAR), target recognition, deep kernel learning, few-shot classification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9839551Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/941228b0052143628ae2718fa2241c77Test

المؤلفون: Long Sun, Jie Chen, Dazheng Feng, MengDao Xing

المصدر: IEEE Access, Vol 9, Pp 95585-95596 (2021)

مصطلحات موضوعية: Saliency analysis, deep kernel learning, remote sensing target recognition, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9475047Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/9e6beecae51241beae78b26cfca87b75Test

المؤلفون: Mohsen Ansari, Saeid Homayouni, Abdolreza Safari, Saeid Niazmardi

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11240-11256 (2021)

مصطلحات موضوعية: Convolutional neural network (CNN), deep kernel, hyperspectral classification, multiple kernel learning (MKL), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9591367Test/; https://doaj.org/toc/2151-1535Test

الوصول الحر: https://doaj.org/article/fd4f579c698548bc9486964d61cb91d0Test

المؤلفون: Zhengyuan Li, Jie Chen, Yanmei Meng, Jihong Zhu, Jiqin Li, Yue Zhang, Chengfeng Li

المصدر: Foods, Vol 11, Iss 23, p 3845 (2022)

مصطلحات موضوعية: sugarcane milling system, synergetic theory, deep kernel extreme learning machine, multi-objective chicken swarm optimization, deep deterministic policy gradient, Chemical technology, TP1-1185

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2304-8158/11/23/3845Test; https://doaj.org/toc/2304-8158Test

الوصول الحر: https://doaj.org/article/71651780cf8d4228812cfcb59f2aceadTest