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Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11669463_20openalex-snapshot
Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/978-3-540-75690-3_18openalex-snapshot
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
inferredcites →https://doi.org/10.1007/978-3-642-37331-2_26openalex-snapshot
Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition
inferredcites →https://doi.org/10.1007/s10115-015-0875-yopenalex-snapshot
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification
inferredcites →https://doi.org/10.1016/j.eswa.2017.10.008openalex-snapshot
Global and intrinsic geometric structure embedding for unsupervised feature selection
inferredcites →https://doi.org/10.1016/j.ins.2009.12.010openalex-snapshot
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
inferredcites →https://doi.org/10.1016/j.ins.2015.03.032openalex-snapshot
Multi-view ensemble manifold regularization for 3D object recognition
inferredcites →https://doi.org/10.1016/j.jpdc.2004.03.020openalex-snapshot
Vehicle classification in distributed sensor networks
inferredcites →https://doi.org/10.1016/j.knosys.2018.06.016openalex-snapshot
Consensus learning guided multi-view unsupervised feature selection
inferredcites →https://doi.org/10.1016/j.patcog.2008.04.012openalex-snapshot
Image annotation via graph learning
inferredcites →https://doi.org/10.1016/j.patcog.2015.12.008openalex-snapshot
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection
inferredcites →https://doi.org/10.1016/j.sigpro.2014.11.015openalex-snapshot
Adaptive multi-view feature selection for human motion retrieval
inferredcites →https://doi.org/10.1109/iccv.2009.5459207openalex-snapshot
An HOG-LBP human detector with partial occlusion handling
inferredcites →https://doi.org/10.1109/icdm.2016.0039openalex-snapshot
Robust Multi-View Feature Selection
inferredcites →https://doi.org/10.1109/icosp.2012.6491708openalex-snapshot
Super-resolution algorithm through neighbor embedding with new feature selection and example training
inferredcites →https://doi.org/10.1109/ijcnn.2017.7965894openalex-snapshot
Multi-view unsupervised feature selection by cross-diffused matrix alignment
inferredcites →https://doi.org/10.1109/tcbb.2017.2706267openalex-snapshot
Drug Target Prediction by Multi-View Low Rank Embedding
inferredcites →https://doi.org/10.1109/tcsvt.2012.2202075openalex-snapshot
Sparse Unsupervised Dimensionality Reduction for Multiple View Data
inferredcites →https://doi.org/10.1109/tip.2015.2479917openalex-snapshot
Compact and Discriminative Descriptor Inference Using Multi-Cues
inferredcites →https://doi.org/10.1109/tkde.2013.65openalex-snapshot
Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection
inferredcites →https://doi.org/10.1109/tkde.2017.2681670openalex-snapshot
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
inferredcites →https://doi.org/10.1109/tnnls.2013.2287275openalex-snapshot
Global and Local Structure Preservation for Feature Selection
inferredcites →https://doi.org/10.1109/tpami.2015.2417578openalex-snapshot
Multi-View Intact Space Learning
inferredcites →https://doi.org/10.1109/tsmc.2016.2605132openalex-snapshot
Sparse Graph Embedding Unsupervised Feature Selection
inferredcites →https://doi.org/10.1145/1273496.1273641openalex-snapshot
Spectral feature selection for supervised and unsupervised learning
inferredcites →https://doi.org/10.1145/1646396.1646452openalex-snapshot
NUS-WIDE
inferredcites →https://doi.org/10.1145/1835804.1835848openalex-snapshot
Unsupervised feature selection for multi-cluster data
inferredcites →https://doi.org/10.1145/2020408.2020593openalex-snapshot
Multi-view transfer learning with a large margin approach
inferredcites →https://doi.org/10.1145/2783258.2783345openalex-snapshot
Unsupervised Feature Selection with Adaptive Structure Learning
inferredcites →https://doi.org/10.1145/2806416.2806501openalex-snapshot
Unsupervised Streaming Feature Selection in Social Media
inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
inferredcites →https://doi.org/10.1609/aaai.v26i1.8289openalex-snapshot
Unsupervised Feature Selection Using Nonnegative Spectral Analysis
inferredcites →https://doi.org/10.24963/ijcai.2018/285openalex-snapshot
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Semi-Supervised Multi-View Feature Selection Via Manifold Steerable Pseudo-Label Learning
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Unsupervised Multi-View Feature Selection Based on Low-Rank Tensor Learning and its Application in Multi-Omics Datasets
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Noise-tolerant multi-view feature selection
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Learning missing instances in intact and projection spaces for incomplete multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1007/s10489-025-06637-5openalex-snapshot
Multi-view semi-supervised feature selection based on adaptive graph and tensor learning
inferred← citeshttps://doi.org/10.1007/s11042-022-14132-zopenalex-snapshot
Wide-ranging approach-based feature selection for classification
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High-order multi-view unsupervised feature selection based on inter-view and intra-view
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Simultaneous local and global clustering guided multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104668openalex-snapshot
Consensus and discriminative non-negative matrix factorization for multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108145openalex-snapshot
Collaborative and Discriminative Subspace Learning for unsupervised multi-view feature selection
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108936openalex-snapshot
Joint Cauchy dictionary learning and graph learning for unsupervised feature selection
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Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121893openalex-snapshot
Structure learning with consensus label information for multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.inffus.2020.12.007openalex-snapshot
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection
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Incremental unsupervised feature selection for dynamic incomplete multi-view data
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Unsupervised multi-view feature selection via attentive hierarchical bipartite graphs with optimizable graph filter
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.104083openalex-snapshot
Uncertainty-aware multi-view evidence fusion for feature selection in brain network analysis
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Incomplete-view oriented kernel learning method with generalization error bound
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119747openalex-snapshot
Feature relevance and redundancy coefficients for multi-view multi-label feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120178openalex-snapshot
Multi-view unsupervised feature selection with consensus partition and diverse graph
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120214openalex-snapshot
Local sparse discriminative feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120604openalex-snapshot
Dual-level feature assessment for unsupervised multi-view feature selection with latent space learning
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121276openalex-snapshot
Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102733openalex-snapshot
Adaptive reverse graph learning for robust subspace learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106748openalex-snapshot
Unsupervised feature selection via transformed auto-encoder
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109243openalex-snapshot
Semi-supervised feature selection via adaptive structure learning and constrained graph learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110601openalex-snapshot
Structural regularization based discriminative multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111073openalex-snapshot
Multi-level correlation learning for multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111172openalex-snapshot
Multi-view unsupervised complementary feature selection with multi-order similarity learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111970openalex-snapshot
Multi-view Stable Feature Selection with Adaptive Optimization of View Weights
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113455openalex-snapshot
Diversity and consistency graph learning guided multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.127119openalex-snapshot
Consistency–exclusivity guided unsupervised multi-view feature selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127945openalex-snapshot
Sparse multi-view image clustering with complete similarity information
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Automatic ensemble feature selection for multi-view data
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High-order Aligned Deep Complementary and View-Specific Similarity Graphs for Unsupervised Multi-View Feature Selection
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Adaptive Graph Learning for Multi-View Unsupervised Feature Selection
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A Multi-View Fusion Method via Tensor Learning and Gradient Descent for Image Features
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Multi-view Unsupervised Feature Selection via Consensus Guided Low-rank Tensor Learning
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Structured Ranking Method-based Feature Selection in Data Mining
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Anti-Noise Muiti-View Feature Selection With Sample Constraints
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Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition
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Evolutionary Strategic Choice Algorithm of Professional Cultural Guiding in Local Newly-built College based on Multi -view Data Mining
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Noise-Resistant Commonality and Individuality Label Learning for Multiview Multilabel Feature Selection Using Fuzzy Mutual Information
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Joint Multi-View Unsupervised Feature Selection and Graph Learning
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Classifying PolSAR Images Based on Multiview Unsupervised Feature Selection via View-Specific and Cross-View Representations
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Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
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2021 Index IEEE Transactions on Knowledge and Data Engineering Vol. 33
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Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification
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Supervised Feature Selection via Multi-Center and Local Structure Learning
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Feature Selection With Discernibility and Independence Criteria
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Latent Semantics and Anchor Graph Multi-Layer Learning for Multi-View Unsupervised Feature Selection
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Gravitation and Causality Guided Multi-View Unsupervised Feature Selection
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Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning
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Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning
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Partition-Level Tensor Learning-Based Multiview Unsupervised Feature Selection
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Multi-View Deep Gaussian Processes for Supervised Learning
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Hierarchical unsupervised multi-view feature selection
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Online unsupervised multi-view feature selection with adaptive neighbors
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Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering
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Federated Incomplete Multi-View Unsupervised Feature Selection with Fractional Sparsity-Guided Whale Optimization and Tensor Alternating Learning
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SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information
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