Unsupervised feature selection via local structure learning and sparse learning
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unsupervised feature selection via local structure learning and sparse learning
Authors
Keywords
Feature selection, Subspace learning, Sparse feature selection, Hypergraph representation
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-11-28
DOI
10.1007/s11042-017-5381-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient kNN Classification With Different Numbers of Nearest Neighbors
- (2018) Shichao Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Graph PCA Hashing for Similarity Search
- (2017) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON MULTIMEDIA
- A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
- (2017) Xiaofeng Zhu et al. MEDICAL IMAGE ANALYSIS
- Real-time social media retrieval with spatial, temporal and social constraints
- (2017) Lianli Gao et al. NEUROCOMPUTING
- Multi-modal Multimedia Big Data Analyzing Architecture and Resource Allocation on Cloud Platform
- (2017) K.P.N. Jayasena et al. NEUROCOMPUTING
- Graph self-representation method for unsupervised feature selection
- (2017) Rongyao Hu et al. NEUROCOMPUTING
- Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
- (2017) Xiaofeng Zhu et al. IEEE Transactions on Neural Networks and Learning Systems
- Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification
- (2016) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation
- (2016) Jingkuan Song et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption
- (2016) Qing Xie et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A Distance-Computation-Free Search Scheme for Binary Code Databases
- (2016) Jingkuan Song et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Deep and fast: Deep learning hashing with semi-supervised graph construction
- (2016) Jingkuan Song et al. IMAGE AND VISION COMPUTING
- Block-Row Sparse Multiview Multilabel Learning for Image Classification
- (2016) Xiaofeng Zhu et al. IEEE Transactions on Cybernetics
- Convolutional Sparse Coding for Trajectory Reconstruction
- (2015) Yingying Zhu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Learning in high-dimensional multimedia data: the state of the art
- (2015) Lianli Gao et al. MULTIMEDIA SYSTEMS
- Multi-view multi-sparsity kernel reconstruction for multi-class image classification
- (2015) Xiaofeng Zhu et al. NEUROCOMPUTING
- Unsupervised feature selection by regularized self-representation
- (2015) Pengfei Zhu et al. PATTERN RECOGNITION
- A relative similarity based method for interactive patient risk prediction
- (2014) Buyue Qian et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Learning Multiple Relative Attributes With Humans in the Loop
- (2014) Buyue Qian et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Sparse Embedding and Least Variance Encoding Approach to Hashing
- (2014) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis
- (2014) Xiaofeng Zhu et al. NEUROIMAGE
- Maximum error-bounded Piecewise Linear Representation for online stream approximation
- (2014) Qing Xie et al. VLDB JOURNAL
- Linear Discriminant Analysis Based on L1-Norm Maximization
- (2013) Fujin Zhong et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval
- (2013) Jingkuan Song et al. IEEE TRANSACTIONS ON MULTIMEDIA
- On constrained spectral clustering and its applications
- (2012) Xiang Wang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Sparse Representation With Kernels
- (2012) Shenghua Gao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Nearest neighbor selection for iteratively kNN imputation
- (2012) Shichao Zhang JOURNAL OF SYSTEMS AND SOFTWARE
- A feasible method for optimization with orthogonality constraints
- (2012) Zaiwen Wen et al. MATHEMATICAL PROGRAMMING
- Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis
- (2012) Xiaofeng Zhu et al. PATTERN RECOGNITION
- Self-taught dimensionality reduction on the high-dimensional small-sized data
- (2012) Xiaofeng Zhu et al. PATTERN RECOGNITION
- Local Linear Discriminant Analysis Framework Using Sample Neighbors
- (2011) Zizhu Fan et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Cost-sensitive classification with inadequate labeled data
- (2011) Tao Wang et al. INFORMATION SYSTEMS
- Shell-neighbor method and its application in missing data imputation
- (2010) Shichao Zhang APPLIED INTELLIGENCE
- Missing Value Estimation for Mixed-Attribute Data Sets
- (2010) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Missing data imputation by utilizing information within incomplete instances
- (2010) Shichao Zhang et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Iteratively reweighted least squares minimization for sparse recovery
- (2009) Ingrid Daubechies et al. COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS
- Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support
- (2008) Xiaowei Yan et al. EXPERT SYSTEMS WITH APPLICATIONS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now