Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Self-Weighted Clustering With Adaptive Neighbors.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Multiview Semi-Supervised Learning Model for Image Classification.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Adaptive Local Linear Discriminant Analysis.

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[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.

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[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph.

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[DOI]

IEEE Trans. Cybern., 2020

Double-Attentive Principle Component Analysis.

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[DOI]

IEEE Signal Process. Lett., 2020

Capped ℓp-Norm LDA for Outliers Robust Dimension Reduction.

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[DOI]

IEEE Signal Process. Lett., 2020

Self-weighted collaborative representation for hyperspectral anomaly detection.

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[DOI]

Signal Process., 2020

Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.

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[DOI]

Pattern Recognit. Lett., 2020

Fast semi-supervised learning with anchor graph for large hyperspectral images.

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[DOI]

Fang He

Rong Wang

Weimin Jia

Pattern Recognit. Lett., 2020

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding.

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[DOI]

Inf. Fusion, 2020

A forest of trees with principal direction specified oblique split on random subspace.

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[DOI]

Neurocomputing, 2020

Auto-weighted multi-view clustering via spectral embedding.

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[DOI]

Neurocomputing, 2020

Multi-view spectral clustering via sparse graph learning.

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[DOI]

Neurocomputing, 2020

Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.

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[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Semi-supervised Clustering via Pairwise Constrained Optimal Graph.

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[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-View Clustering Via Mixed Embedding Approximation.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Revisiting Fast Spectral Clustering with Anchor Graph.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.

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[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Scalable and Flexible Unsupervised Feature Selection.

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[DOI]

Neural Comput., 2019

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.

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[DOI]

CoRR, 2019

Feature Learning Viewpoint of Adaboost and a New Algorithm.

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[DOI]

IEEE Access, 2019

Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Stable and orthogonal local discriminant embedding using trace ratio criterion for dimensionality reduction.

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[DOI]

Multim. Tools Appl., 2018

Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.

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[DOI]

Multim. Tools Appl., 2018

Fast and Flexible Large Graph Embedding Based on Anchors.

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[DOI]

IEEE J. Sel. Top. Signal Process., 2018

An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction.

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[DOI]

Neurocomputing, 2018

Multi-view embedded clustering with unsupervised trace ratio LDA.

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[DOI]

Neurocomputing, 2018

Efficient tree classifiers for large scale datasets.

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[DOI]

Neurocomputing, 2018

2017

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.

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[DOI]

IEEE Trans. Image Process., 2017

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.

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[DOI]

Rong Wang

Feiping Nie

Weizhong Yu

IEEE Geosci. Remote. Sens. Lett., 2017

Robust Locality Preserving Projections With Cosine-Based Dissimilarity for Linear Dimensionality Reduction.

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[DOI]

IEEE Access, 2017

2016

Block Principal Component Analysis With Nongreedy ℓ1-Norm Maximization.

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[DOI]

IEEE Trans. Cybern., 2016

Diagonal principal component analysis with non-greedy ℓ1-norm maximization for face recognition.

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[DOI]

Neurocomputing, 2016

Selective Level Set Segmentation Using Fuzzy Region Competition.

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[DOI]

IEEE Access, 2016

2015

Robust 2DPCA With Non-greedy ℓ1-Norm Maximization for Image Analysis.

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[DOI]

IEEE Trans. Cybern., 2015

2013

An Unambiguous Tracking Method Based on Pseudo Correlation Function for AltBOC(15, 10) Signal.

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[DOI]

Wirel. Pers. Commun., 2013

2012

A Novel Orthonormalization Matrix Based Fast and Stable DPM Algorithm for Principal and Minor Subspace Tracking.

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[DOI]

IEEE Trans. Signal Process., 2012

2011

Stable and Orthonormal OJA Algorithm With Low Complexity.

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[DOI]

IEEE Signal Process. Lett., 2011

Interference cancellation in GPS receiver using noise subspace tracking algorithm.

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[DOI]

Signal Process., 2011

Rong Wang

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