Results 41 to 50 of about 3,233,192 (305)
Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data [PDF]
, 2023 Although multi-view clustering has been successfully used to fuse multi-source social sensing data, the adaptive determination of fusion weights for high-dimensional and noisy multi-source social sensing data remains challenging. Therefore, we propose an
Zexin Lu (16960371) +3 more
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multiviewstacking: A Python Package for Training Multi-View Stacking Classifiers
Journal of Open Research SoftwareThe multiviewstacking Python package provides an open-source implementation of the Multi-View Stacking (MVS) algorithm for supervised classification tasks.
Enrique Garcia-Ceja
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Unsupervised Multi-View K-Means Clustering Algorithm
IEEE Access, 2023 Since advanced technologies via social media, internet, virtual communities and networks and internet of things (IoT), there are more multi-view data to be collected.
Miin-Shen Yang, Ishtiaq Hussain
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Pairwise Constraint Propagation on Multi-View Data
CoRR, 2015 This paper presents a graph-based learning approach to pairwise constraint propagation on multi-view data. Although pairwise constraint propagation has been studied extensively, pairwise constraints are usually defined over pairs of data points from a single view, i.e., only intra-view constraint propagation is considered for multi-view tasks. In fact,
Zhiwu Lu 0001, Liwei Wang 0001
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Clustering-based anomaly detection in multi-view data [PDF]
Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013 This paper proposes a simple yet effective anomaly detection method for multi-view data. The proposed approach detects anomalies by comparing the neighborhoods in different views. Specifically, clustering is performed separately in the different views and affinity vectors are derived for each object from the clustering results.
Alejandro Marcos Alvarez +3 more
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GIScience & Remote Sensing, 2019 Unmanned Aerial Systems (UASs) have the potential to provide multi-view data, but the approaches used to extract the multi-view data from UAS and investigation of their use in image classification are currently unavailable in publications to our best ...
Tao Liu +5 more
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Structural Learning and Integrative Decomposition of Multi-View Data [PDF]
Biometrics, 2019 AbstractThe increased availability of multi-view data (data on the same samples from multiple sources) has led to strong interest in models based on low-rank matrix factorizations. These models represent each data view via shared and individual components, and have been successfully applied for exploratory dimension reduction, association analysis ...
Irina Gaynanova, Gen Li
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A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions
IEEE AccessOvercoming occlusions in light field (LF) imaging is a challenging yet complex task crucial for scene understanding, image quality enhancement, and restoring visual details in obstructed scenes. This review examines contemporary occlusion removal methods,
Mostafa Farouk Senussi +5 more
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Multi-view dual anchor graph fuzzy clustering
Nantong Daxue xuebao. Ziran kexue banIn recent years, with the rapid development of multi-view learning, how to effectively integrate information from different views for clustering analysis has become an important research topic in both academia and industry,driving the emergence of ...
ZHU Chenghao；DING Weiping；ZHANG Wei
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Replication Data for: Insights to Carrier-Phonon Interactions in Lead Halide Perovskites via Multi-pulse Manipulation [PDF]
, 2023 Replication Data for: Insights to Carrier-Phonon Interactions in Lead Halide Perovskites via Multi-pulse ...
Sum, Tze Chien +7 more
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