Results 51 to 60 of about 24,544,958 (149)
, 2023 As we all know, multi-view data is more expressive than single-view data and multi-label annotation enjoys richer supervision information than single-label, which makes multi-view multi-label learning widely applicable for various pattern recognition ...
Xu, Yong +3 more
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Journal of King Saud University: Computer and Information SciencesDespite significant advancements in multi-view multi-label learning driven by its broad applicability, real-world scenarios frequently suffer from dual incompleteness in both view and label spaces due to data acquisition uncertainties. The incompleteness
Shenrun Ding +4 more
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Multi-view clustering for mining heterogeneous social network data [PDF]
, 2009 Paper presented at the Workshop on Information Retrieval over Social Networks, 31st European Conference on Information Retrieval (ECIR'09), Toulouse, France, April 6-9, 2009Uncovering community structure is a core challenge in social network analysis ...
Greene, Derek +3 more
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Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning∗
, 2014 Multi-Instance Multi-Label (MIML) is a learning framework where an example is associated with mul-tiple labels and represented by a set of feature vec-tors (multiple instances).
Cam-tu Nguyen +7 more
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Real-Time View-Interpolation System for Super Multi-View 3D Display [PDF]
, 2003 A 3D display using super high-density multi-view images should enable reproduction of natural stereoscopic views. In the super multi-view display system, viewpoints are sampled at an interval narrower than the diameter of the pupil of a person's eye ...
FUJII, Toshiaki +2 more
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Multi-Task Multi-View Learning Based on Cooperative Multi-Objective Optimization
IEEE Access, 2018 Traditional multi-task multi-view (MTMV) models work under the single-objective learning framework and cannot incorporate too many regularization terms, which are primarily attributed to the utilization of the conventional numerical optimization methods.
Di Zhou +4 more
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, 2022 The study offers a nuanced view of multi-stakeholder networks (MSNs) as settings for capability development through learning. Unlike numerous studies of capability development in networks being framed through a resource-based perspective, the study ...
Polina Baranova, Baranova, P.
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Multi‑view Subspace Clustering Method Based on Tensor Low‑Rank Learning
Shuju Caiji Yu ChuliMulti-view clustering is a powerful technique for improving analytical performance by fusing complementary multi-source information. However， there are deficient in two ways： It neglects the strong inherent correlation between representation tensors and ...
SHI Desheng, XU He, LI Peng
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Multi-View Network Representation Learning Algorithm Research
Algorithms, 2019 Network representation learning is a key research field in network data mining. In this paper, we propose a novel multi-view network representation algorithm (MVNR), which embeds multi-scale relations of network vertices into the low dimensional ...
Zhonglin Ye +3 more
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Multi-view VR system for co-located multidisciplinary collaboration and its application in ergonomic design [PDF]
, 2017 In co-located collaborative environment for product design, new groupware of multi-view system allows multiple experts to have individual visual information.
KEMENY, Andras +11 more
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