Learning with Hilbert–Schmidt independence criterion: A review and new perspectives
T Wang, X Dai, Y Liu - Knowledge-based systems, 2021 - Elsevier
Abstract The Hilbert–Schmidt independence criterion (HSIC) was originally designed to
measure the statistical dependence of the distribution-based Hilbert space embedding in …
measure the statistical dependence of the distribution-based Hilbert space embedding in …
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges
J Tekli - Knowledge and Information Systems, 2022 - Springer
Digital photographs and visual data have become increasingly available, especially on the
Web considered as the largest image database to date. However, the value of multimedia …
Web considered as the largest image database to date. However, the value of multimedia …
Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data
Z Li, SFL Windels, N Malod-Dognin, SM Weinberg… - bioRxiv, 2024 - biorxiv.org
Motivation: Combining omics and images, can lead to a more comprehensive clustering of
individuals than classic single-view approaches. Among the various approaches for multi …
individuals than classic single-view approaches. Among the various approaches for multi …
Deep learning for anomaly detection in high-energy beam dump data from the Large Hadron Collider
F Hulphers - 2022 - cds.cern.ch
Abstract The Large Hadron Collider (LHC) is the world's largest and most powerful particle
accelerator, in which beams of particles are accelerated to near the speed of light. Partial …
accelerator, in which beams of particles are accelerated to near the speed of light. Partial …
[PDF][PDF] Longitudinal Pattern Mining for the Intensive Care Unit
T Gumbsch - 2022 - research-collection.ethz.ch
In medicine, timely recognition of patient deterioration is extremely important to reduce
mortality and morbidity. In the hospital, patient warning systems assist the practitioners in …
mortality and morbidity. In the hospital, patient warning systems assist the practitioners in …
[HTML][HTML] 基于交叉熵测度的成对约束模糊核聚类算法
徐圣兵, 林上钧, 钟国祥 - 应用科技, 2020 - html.rhhz.net
目前已有的成对约束模糊核聚类研究中, 缺乏对成对约束信息的有效测度,
进而无法充分利用成对约束这类半监督信息. 在成对约束核聚类的基础上, 文中提出基于交叉熵 …
进而无法充分利用成对约束这类半监督信息. 在成对约束核聚类的基础上, 文中提出基于交叉熵 …