Search Results - "Sun, Quansen"

Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction by Ren, Zhenwen, Sun, Quansen, Wu, Bin, Zhang, Xiaoqian, Yan, Wenzhu

“…To defy the curse of dimensionality, the inputs are always projected from the original high-dimensional space into the target low-dimension space for feature…”
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Probabilistic Diffusion for Interactive Image Segmentation by Wang, Tao, Yang, Jian, Ji, Zexuan, Sun, Quansen

“…This paper presents an interactive image segmentation approach in which we formulate segmentation as a probabilistic estimation problem based on the prior user…”
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Sparse and collaborative representation based kernel pairwise linear regression for image set classification by Gao, Xizhan, Sun, Quansen, Xu, Haitao, Gao, Jianqiang

“…•Two new unrelated subspace construction strategies are introduced.•Two new image set classifiers called PLRC-III and PLRC-IV are then developed.•The KPLRC…”
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Robust spatially constrained fuzzy c-means algorithm for brain MR image segmentation by Ji, Zexuan, Liu, Jinyao, Cao, Guo, Sun, Quansen, Chen, Qiang

“…Accurate brain tissue segmentation from magnetic resonance (MR) images is an essential step in quantitative brain image analysis, and hence has attracted…”
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A novel supervised correlation analysis based on partial differential equations for multi-feature extraction and fusion by Yang, Jing, Fan, Liya, Sun, Quansen

“…In high dimensional data analysis, canonical correlation analysis (CCA) mainly studies the linear correlation between two sets of features and it is an…”
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Prototype learning and collaborative representation using Grassmann manifolds for image set classification by Wei, Dong, Shen, Xiaobo, Sun, Quansen, Gao, Xizhan, Yan, Wenzhu

“…•Principle component and variation subspaces are constructed for an over-complete dictionary.•A novel prototype and variation model (P+V) based collaborative…”
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A Prior-Knowledge-Based Generative Adversarial Network for Unsupervised Satellite Cloud Image Restoration by Zhao, Liling, Duanmu, Xiaoao, Sun, Quansen

“…High-quality satellite cloud images are of great significance for weather diagnosis and prediction. However, many of these images are often degraded due to…”
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Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis by Gao, Xizhan, Niu, Sijie, Sun, Quansen

“…Two-directional two-dimensional canonical correlation analysis ((2D) 2 CCA) directly seeks linear relationship between different image data sets without…”
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Multiple Kernel Sparse Representation-Based Orthogonal Discriminative Projection and Its Cost-Sensitive Extension by Zhang, Guoqing, Sun, Huaijiang, Xia, Guiyu, Sun, Quansen

“…Sparse representation-based classification (SRC) has been developed and shown great potential for real-world application. Based on SRC, Yang et al. devised an…”
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Nonnegative discriminative encoded nearest points for image set classification by Ren, Zhenwen, Sun, Quansen, Yang, Chao

“…Image set classification has drawn much attention due to its rich set information. Recently, the most popular set-to-set distance-based representation methods…”
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Diversity and consistency embedding learning for multi-view subspace clustering by Mi, Yong, Ren, Zhenwen, Mukherjee, Mithun, Huang, Yuqing, Sun, Quansen, Chen, Liwan

“…With the emergence of multi-view data, many multi-view clustering methods have been developed due to the effectiveness of exploiting the complementary…”
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Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval by Kong, Jie, Sun, Quansen, Mukherjee, Mithun, Lloret, Jaime

“…As remote sensing (RS) images increase dramatically, the demand for remote sensing image retrieval (RSIR) is growing, and has received more and more attention…”
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Optimal Couple Projections for Domain Adaptive Sparse Representation-Based Classification by Guoqing Zhang, Huaijiang Sun, Porikli, Fatih, Yazhou Liu, Quansen Sun

“…In recent years, sparse representation-based classification (SRC) is one of the most successful methods and has been shown impressive performance in various…”
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A novel semi-supervised canonical correlation analysis and extensions for multi-view dimensionality reduction by Shen, XiaoBo, Sun, QuanSen

“…•A novel semi-supervised canonical correlation analysis is proposed for multiview dimensionality reduction.•We incorporate a novel sparse representation based…”
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MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data by Gao, Xizhan, Sun, Quansen, Yang, Jing

“…[Display omitted] •By analyzing the relationship between CCA and 2D-CCA, MRCCA is proposed.•A multiset version of MRCCA, i.e. MRMCCA, is also developed.•A new…”
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2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition by Gao, Xizhan, Sun, Quansen, Xu, Haitao, Li, Yanmeng

“…Two-dimensional canonical correlation analysis (2D-CCA) is an effective and efficient method for two-view feature extraction and fusion. Since it is a global…”
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Probabilistic collaborative representation on Grassmann manifold for image set classification by Zhang, Shuo, Wei, Dong, Yan, Wenzhu, Sun, Quansen

“…For image-set based classification, sparse coding and collaborative representation have gained a lot of attention due to their robustness and effectiveness…”
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Adaptive fusion with multi-scale features for interactive image segmentation by Ding, Zongyuan, Wang, Tao, Sun, Quansen, Wang, Hongyuan

“…Multi-scale features are usually utilized to improve the performance of interactive image segmentation, however, they have varying leverages over the result of…”
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Multi-layer graph constraints for interactive image segmentation via game theory by Wang, Tao, Sun, Quansen, Ji, Zexuan, Chen, Qiang, Fu, Peng

“…The combination of pixels and superpixels has been widely used for image segmentation, where the pixels and superpixels are segmented together. These…”
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Locality-aware group sparse coding on Grassmann manifolds for image set classification by Wei, Dong, Shen, Xiaobo, Sun, Quansen, Gao, Xizhan, Yan, Wenzhu

“…Riemannian sparse coding methods are attracting increasing interest in many computer vision applications, relying on its non-Euclidean structure. One such…”
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