On the public citation graph
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection
0 signed · 62 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10115-012-0534-5openalex-snapshot
Multi-domain anomaly detection in spatial datasets
inferredcites →https://doi.org/10.1007/s10586-021-03430-0openalex-snapshot
A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix
inferredcites →https://doi.org/10.1007/s10618-009-0148-zopenalex-snapshot
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes
inferredcites →https://doi.org/10.1007/s10791-011-9172-xopenalex-snapshot
Graph-based term weighting for information retrieval
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104933openalex-snapshot
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding
inferredcites →https://doi.org/10.1016/j.eswa.2015.07.018openalex-snapshot
A practical outlier detection approach for mixed-attribute data
inferredcites →https://doi.org/10.1016/j.inffus.2017.02.007openalex-snapshot
Multi-view learning overview: Recent progress and new challenges
inferredcites →https://doi.org/10.1016/j.knosys.2018.10.022openalex-snapshot
A study of graph-based system for multi-view clustering
inferredcites →https://doi.org/10.1016/j.knosys.2019.105102openalex-snapshot
Multi-graph fusion for multi-view spectral clustering
inferredcites →https://doi.org/10.1016/j.knosys.2020.106518openalex-snapshot
Robust multi-view k-means clustering with outlier removal
inferredcites →https://doi.org/10.1016/j.neunet.2018.06.017openalex-snapshot
Improved multi-view privileged support vector machine
inferredcites →https://doi.org/10.1016/j.patcog.2021.107874openalex-snapshot
Mean-shift outlier detection and filtering
inferredcites →https://doi.org/10.1016/j.patrec.2017.03.008openalex-snapshot
k -means clustering with outlier removal
inferredcites →https://doi.org/10.1109/cifer.1997openalex-snapshot
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr)
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/icpr.2004.1334435openalex-snapshot
Proceedings of the 17th International Conference on Pattern Recognition ICPR 2004
inferredcites →https://doi.org/10.1109/jcc53141.2021.00012openalex-snapshot
DRAM Failure Prediction in Large-Scale Data Centers
inferredcites →https://doi.org/10.1109/mdso.2005.53openalex-snapshot
Parallel and distributed computing for cybersecurity
inferredcites →https://doi.org/10.1109/mmbia.2001.991692openalex-snapshot
Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001)
inferredcites →https://doi.org/10.1109/tip.2017.2754942openalex-snapshot
Consensus Regularized Multi-View Outlier Detection
inferredcites →https://doi.org/10.1109/tkde.2006.29openalex-snapshot
Distance-based detection and prediction of outliers
inferredcites →https://doi.org/10.1109/tkde.2013.108openalex-snapshot
An Efficient Approach for Outlier Detection with Imperfect Data Labels
inferredcites →https://doi.org/10.1109/tkde.2019.2933511openalex-snapshot
Multi-View Support Vector Machines with the Consensus and Complementarity Information
inferredcites →https://doi.org/10.1109/tkde.2019.2954317openalex-snapshot
Clustering With Outlier Removal
inferredcites →https://doi.org/10.1109/tpami.2013.57openalex-snapshot
Sparse Subspace Clustering: Algorithm, Theory, and Applications
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1145/1970392.1970395openalex-snapshot
Robust principal component analysis?
inferredcites →https://doi.org/10.1145/3168363openalex-snapshot
Multi-View Low-Rank Analysis with Applications to Outlier Detection
inferredcites →https://doi.org/10.1145/3389547openalex-snapshot
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval
inferredcites →https://doi.org/10.1609/aaai.v35i8.16873openalex-snapshot
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection
inferredcites →https://doi.org/10.24963/ijcai.2017/357openalex-snapshot
Self-weighted Multiview Clustering with Multiple Graphs
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00530-024-01526-2openalex-snapshot
Multi-view anomaly detection via hybrid instance-neighborhood aligning and cross-view reasoning
inferred← citeshttps://doi.org/10.1007/s10489-024-06137-yopenalex-snapshot
A tree-based framework to mine top-K closed sequential patterns
inferred← citeshttps://doi.org/10.1007/s10489-026-07375-yopenalex-snapshot
Multi-view outlier detection via tensor decomposition and information decoupling
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116536openalex-snapshot
Multi-view outlier detection based on structured high-order heat kernel diffusion and distribution discrepancy
inferred← citeshttps://doi.org/10.1016/j.ijar.2026.109769openalex-snapshot
Kernel self-representation learning based fuzzy neighborhood outlier detection
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102012openalex-snapshot
Multi-view Outlier Detection via Graphs Denoising
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103313openalex-snapshot
Low-rank tucker decomposition for multi-view outlier detection based on meta-learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.09.145openalex-snapshot
Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129371openalex-snapshot
Dynamic label correlations and dual-semantic enhancement learning for cross-modal retrieval
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106438openalex-snapshot
Heterogeneous graph convolutional network for multi-view semi-supervised classification
inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528438openalex-snapshot
Multi-View Outlier Detection Based on High-Order Neighbor Information
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386155openalex-snapshot
Multi-view Deep Markov Models for Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889803openalex-snapshot
Unsupervised Multi-View Outlier Detection via Optimal Graph Filtering
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460482openalex-snapshot
Bilateral Graph Filtering Framework with Alternating Optimization for Robust Multi-View Outlier Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462415openalex-snapshot
Granular-Ball Based Multi-View Outlier Detection
inferred← citeshttps://doi.org/10.1145/3581783.3612487openalex-snapshot
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling
inferred← citeshttps://doi.org/10.1145/3589767openalex-snapshot
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering
inferred← citeshttps://doi.org/10.1145/3608954openalex-snapshot
Multi-View Graph Convolutional Networks with Differentiable Node Selection
inferred← citeshttps://doi.org/10.1145/3623400openalex-snapshot
Structure-Driven Representation Learning for Deep Clustering
inferred← citeshttps://doi.org/10.1145/3638354openalex-snapshot
Information-aware Multi-view Outlier Detection
inferred← citeshttps://doi.org/10.1145/3664647.3681125openalex-snapshot
Regularized Contrastive Partial Multi-view Outlier Detection
inferred← citeshttps://doi.org/10.1145/3674839openalex-snapshot
Subspace-Contrastive Multi-View Clustering
inferred← citeshttps://doi.org/10.1145/3696410.3714575openalex-snapshot
Cluster Aware Graph Anomaly Detection
inferred← citeshttps://doi.org/10.1145/3733604openalex-snapshot
Latent Representation Learning for Attributed Graph Anomaly Detection
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.