Search Results - "Ding, Zhengming"
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1
Deep Domain Generalization With Structured Low-Rank Constraint
Published in IEEE transactions on image processing (01-01-2018)“…Domain adaptation nowadays attracts increasing interests in pattern recognition and computer vision field, since it is an appealing technique in fighting off…”
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2
Robust Transfer Metric Learning for Image Classification
Published in IEEE transactions on image processing (01-02-2017)“…Metric learning has attracted increasing attention due to its critical role in image analysis and classification. Conventional metric learning always assumes…”
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3
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
Published in Nature communications (08-06-2021)“…To fully utilize the advances in omics technologies and achieve a more comprehensive understanding of human diseases, novel computational methods are required…”
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4
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation
Published in IEEE transactions on image processing (01-09-2018)“…Domain adaptation manages to build an effective target classifier or regression model for unlabeled target data by utilizing the well-labeled source data but…”
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5
Semi-supervised Deep Domain Adaptation via Coupled Neural Networks
Published in IEEE transactions on image processing (01-11-2018)“…Domain adaptation is a promising technique when addressing limited or no labeled target data by borrowing well-labeled knowledge from the auxiliary source…”
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6
Adaptive Adversarial Network for Source-free Domain Adaptation
Published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (01-01-2021)“…Unsupervised Domain Adaptation solves knowledge transfer along with the coexistence of well-annotated source domain and unlabeled target instances. However,…”
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Conference Proceeding -
7
Deeply Learned View-Invariant Features for Cross-View Action Recognition
Published in IEEE transactions on image processing (01-06-2017)“…Classifying human actions from varied views is challenging due to huge data variations in different views. The key to this problem is to learn discriminative…”
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8
Low-Rank Transfer Human Motion Segmentation
Published in IEEE transactions on image processing (01-02-2019)“…Human motion segmentation has a great potential in real-world applications. Conventional segmentation approaches cluster data with no guidance from prior…”
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9
Leveraging the Invariant Side of Generative Zero-Shot Learning
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…Conventional zero-shot learning (ZSL) methods generally learn an embedding, e.g., visual-semantic mapping, to handle the unseen visual samples via an indirect…”
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Conference Proceeding -
10
Consensus Regularized Multi-View Outlier Detection
Published in IEEE transactions on image processing (01-01-2018)“…Identifying different types of data outliers with abnormal behaviors in multi-view data setting is challenging due to the complicated data distributions across…”
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Journal Article -
11
Dual Low-Rank Decompositions for Robust Cross-View Learning
Published in IEEE transactions on image processing (01-01-2019)“…Cross-view data are very popular contemporarily, as different viewpoints or sensors attempt to richly represent data in various views. However, the cross-view…”
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12
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation
Published in IEEE transaction on neural networks and learning systems (01-01-2023)“…Existing domain adaptation approaches often try to reduce distribution difference between source and target domains and respect domain-specific discriminative…”
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13
Missing Modality Transfer Learning via Latent Low-Rank Constraint
Published in IEEE transactions on image processing (01-11-2015)“…Transfer learning is usually exploited to leverage previously well-learned source domain for evaluating the unknown target domain; however, it may fail if no…”
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14
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification
Published in IEEE transaction on neural networks and learning systems (01-11-2020)“…Visual domain adaptation aims to seek an effective transferable model for unlabeled target images by benefiting from the well-labeled source images following…”
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15
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Zero-shot learning for visual recognition has received much interest in the most recent years. However, the semantic gap across visual features and their…”
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Conference Proceeding -
16
Discerning Feature Supported Encoder for Image Representation
Published in IEEE transactions on image processing (01-08-2019)“…Inspired by the recent successes of deep architecture, the auto-encoder and its variants have been intensively explored on image clustering and classification…”
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17
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition
Published in IEEE transactions on intelligent transportation systems (01-12-2012)“…Researchers have proposed various machine learning algorithms for traffic sign recognition, which is a supervised multicategory classification problem with…”
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18
Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study
Published in PLoS neglected tropical diseases (01-08-2023)“…Deep learning, which is a part of a broader concept of artificial intelligence (AI) and/or machine learning has achieved remarkable success in vision tasks…”
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Knowledge Reused Outlier Detection
Published in IEEE access (2019)“…Tremendous efforts have been invested in the unsupervised outlier detection research, which is conducted on unlabeled data set with abnormality assumptions…”
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20
Locally connected graph for visual tracking
Published in Neurocomputing (Amsterdam) (23-11-2013)“…Based on fast feature extraction, the subspace representation model provides a compact notion of the “thing” being tracked rather than treating the target as a…”
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