Ming-Bo Zhao

According to our database1, Ming-Bo Zhao authored at least 81 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification.
IEEE Trans. Big Data, 2019

2018
Locality Reconstruction Models for Book Representation.
IEEE Trans. Knowl. Data Eng., 2018

Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph.
Neural Processing Letters, 2018

Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.
Neural Networks, 2018

Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning.
Neurocomputing, 2018

Controlling Stroke Size in Fast Style Transfer with Recurrent Convolutional Neural Network.
Comput. Graph. Forum, 2018

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Robust Adaptive Label Propagation by Double Matrix Decomposition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction.
IEEE Trans. Image Processing, 2017

Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model.
IEEE Trans. Industrial Informatics, 2017

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Industrial Informatics, 2017

Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining.
Sensors, 2017

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.
Pattern Recognition, 2017

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization.
Neural Networks, 2017

Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl.-Based Syst., 2017

AWM: Adaptive Weight Matting for medical image segmentation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Prostate lesion detection and localization based on locality alignment discriminant analysis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Detrended fluctuation analysis of daily rainfall records of the entire China.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Subspace Clustering via Adaptive Low-Rank Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Projective Dictionary Learning by Joint Label Embedding and Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.
IEEE Trans. Image Processing, 2016

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Industrial Informatics, 2016

Locality Alignment Discriminant Analysis for Visualizing Regional English.
Neural Processing Letters, 2016

Locality Constrained-ℓp Sparse Subspace Clustering for Image Clustering.
Neurocomputing, 2016

Vehicle route planning for logistics network optimization via multiple spanning tree.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Nuclear-norm regularized neighborhood preserving projection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Leap on large-scale nonseparable problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood.
IEEE Trans. Knowl. Data Eng., 2015

A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction.
ACM TIST, 2015

Semi-Supervised Image Classification Based on Local and Global Regression.
IEEE Signal Process. Lett., 2015

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.
IEEE Signal Process. Lett., 2015

Automatic image annotation via compact graph based semi-supervised learning.
Knowl.-Based Syst., 2015

Bilinear low-rank coding framework and extension for robust image recovery and feature representation.
Knowl.-Based Syst., 2015

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.
Inf. Sci., 2015

Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.
Neurocomputing, 2015

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.
Neurocomputing, 2015

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Semi-supervised label consistent dictionary learning for machine fault classification.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Projective Label Propagation by Label Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis.
IEEE Trans. Industrial Electronics, 2014

Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease.
IEEE Signal Process. Lett., 2014

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.
Neural Networks, 2014

Similarity preserving low-rank representation for enhanced data representation and effective subspace learning.
Neural Networks, 2014

Text style analysis using trace ratio criterion patch alignment embedding.
Neurocomputing, 2014

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.
Expert Syst. Appl., 2014

Weighted local and global regressive mapping: A new manifold learning method for machine fault classification.
Eng. Appl. of AI, 2014

Soft label based Linear Discriminant Analysis for image recognition and retrieval.
Computer Vision and Image Understanding, 2014

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Robust bilinear matrix recovery by Tensor Low-Rank Representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Transformed Neighborhood Propagation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification.
IEEE Trans. Knowl. Data Eng., 2013

Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization.
IEEE Trans. Knowl. Data Eng., 2013

Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification.
IEEE Trans. Image Processing, 2013

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction.
IEEE Trans. Cybernetics, 2013

Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia.
IEEE Signal Process. Lett., 2013

A soft label based linear discriminant analysis for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning from local and global discriminative information for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Robust image representation and decomposition by Laplacian regularized latent low-rank representation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Handwriting representation and recognition through a sparse projection and low-rank recovery framework.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction.
Soft Comput., 2012

Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction.
Pattern Recognition, 2012

Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction.
Pattern Recognition, 2012

A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition.
Pattern Recognition, 2012

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition.
Neural Networks, 2012

On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On the Theoretical and Computational Analysis between SDA and Lap-LDA.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Local cooperation delivers global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009
Induction machine fault detection using clone selection programming.
Expert Syst. Appl., 2009

2007
Scatternet Formation Algorithm in Multi-hop Environment based on Bionics.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

The Application of Fuzzy Neural Network in the Iatrical Monitor.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Data Fusion based on RBF Neural Network for Error Compensation in Resistance Strain Gauge Force Transducers.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007


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