A Multi-View Fusion Method via Tensor Learning and Gradient Descent for Image Features
暂无分享,去创建一个
Wengang Zhou | Laihang Yu | Ningzhong Liu | Dongyan Zhang | Wen-gang Zhou | Laihang Yu | Ningzhong Liu | Dongyan Zhang
[1] Jingjing Zhao,et al. Multiview feature fusion optimization method for image retrieval based on matrix correlation , 2020, J. Electronic Imaging.
[2] Tao Zhang,et al. Fast and robust road sign detection in driver assistance systems , 2018, Applied Intelligence.
[3] Eleni Stroulia,et al. Chapter 6 – Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data , 2015 .
[4] Shenglan Liu,et al. Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval , 2017, Signal, Image and Video Processing.
[5] Mingyue Ding,et al. Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising , 2019, Sensors.
[6] Yongdong Zhang,et al. Multiview Spectral Embedding , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[7] Wengang Zhou,et al. Weber’s law based multi-level convolution correlation features for image retrieval , 2021, Multimedia Tools and Applications.
[8] Xianping Fu,et al. Multi-Path Deep CNNs for Fine-Grained Car Recognition , 2020, IEEE Transactions on Vehicular Technology.
[9] Yicong Zhou,et al. Nonconvex multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix , 2020, Pattern Recognit..
[10] Bhabani Shankar Prasad Mishra,et al. Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition , 2018, Multimedia Tools and Applications.
[11] Shervan Fekri-Ershad,et al. Bark texture classification using improved local ternary patterns and multilayer neural network , 2020, Expert Syst. Appl..
[12] Huchuan Lu,et al. Salient Object Detection With Lossless Feature Reflection and Weighted Structural Loss , 2019, IEEE Transactions on Image Processing.
[13] Sattar Hashemi,et al. To increase quality of feature reduction approaches based on processing input datasets , 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.
[14] Shervan Fekri Ershad,et al. Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains , 2019, Electron. Libr..
[15] Huchuan Lu,et al. HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection , 2018, ArXiv.
[16] Meng Zhao,et al. A novel image retrieval method based on multi-trend structure descriptor , 2016, J. Vis. Commun. Image Represent..
[17] Qi Tian,et al. SIFT Meets CNN: A Decade Survey of Instance Retrieval , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Bin Yang,et al. A real-time image forensics scheme based on multi-domain learning , 2019, Journal of Real-Time Image Processing.
[19] Chuang Liu,et al. RGB-T Saliency Detection via Low-Rank Tensor Learning and Unified Collaborative Ranking , 2020, IEEE Signal Processing Letters.
[20] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[21] Lin Feng,et al. Multi-view Locality Low-rank Embedding for Dimension Reduction , 2019, Knowl. Based Syst..
[22] Shiguang Shan,et al. Multi-View Discriminant Analysis , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Swati Nigam,et al. Efficient facial expression recognition using histogram of oriented gradients in wavelet domain , 2018, Multimedia Tools and Applications.
[24] Xuan Li,et al. A Survey on Tensor Techniques and Applications in Machine Learning , 2019, IEEE Access.
[25] Sriparna Saha,et al. A Unified Multi-view Clustering Algorithm Using Multi-objective Optimization Coupled with Generative Model , 2020, ACM Trans. Knowl. Discov. Data.
[26] Pan Wang,et al. Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking , 2020, IEEE Transactions on Circuits and Systems for Video Technology.
[27] Xuan Bi,et al. Individualized Multilayer Tensor Learning With an Application in Imaging Analysis , 2019, Journal of the American Statistical Association.
[28] Rama Chellappa,et al. Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker , 2018, IEEE Transactions on Image Processing.
[29] Wei Zhao,et al. Multiview Concept Learning Via Deep Matrix Factorization , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[30] Nasrollah Moghadam Charkari,et al. Unsupervised representation learning based on the deep multi-view ensemble learning , 2019, Applied Intelligence.
[31] Huibing Wang,et al. Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction , 2019, Neurocomputing.
[32] Yang Wang,et al. Kernelized Multiview Subspace Analysis By Self-Weighted Learning , 2019, IEEE Transactions on Multimedia.
[33] Antonio Torralba,et al. Building the gist of a scene: the role of global image features in recognition. , 2006, Progress in brain research.
[34] Qirong Mao,et al. A survey of micro-expression recognition , 2020, Image Vis. Comput..
[35] Sebastian Ruder,et al. An overview of gradient descent optimization algorithms , 2016, Vestnik komp'iuternykh i informatsionnykh tekhnologii.
[36] Xuelong Li,et al. A Biologically Inspired Appearance Model for Robust Visual Tracking , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[37] Pong C. Yuen,et al. Robust Visual Tracking via Basis Matching , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[38] Jun Wu,et al. Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns , 2016, J. Electronic Imaging.
[39] Lu Zhang,et al. Multi‐view frontal face image generation: A survey , 2020, Concurr. Comput. Pract. Exp..
[40] Qirong Mao,et al. Learning Hierarchical Emotion Context for Continuous Dimensional Emotion Recognition From Video Sequences , 2019, IEEE Access.
[41] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[42] Shervan Fekri-Ershad,et al. Pap smear classification using combination of global significant value, texture statistical features and time series features , 2019, Multimedia Tools and Applications.
[43] Hal Daumé,et al. A Co-training Approach for Multi-view Spectral Clustering , 2011, ICML.
[44] Yuan Wan,et al. Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection , 2021, IEEE Transactions on Knowledge and Data Engineering.
[45] Di Huang,et al. Local Binary Patterns and Its Application to Facial Image Analysis: A Survey , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[46] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[47] Cheng Zeng,et al. Multi-view Embedding with Adaptive Shared Output and Similarity for unsupervised feature selection , 2019, Knowl. Based Syst..
[48] Subrahmanyam Murala,et al. Joint histogram between color and local extrema patterns for object tracking , 2013, Electronic Imaging.