Sparse codingRiemannian optimizationThis paper presents an effective method for automated 3D/4D facial expression recognition based on Mesh-Local Binary Pattern Difference (mesh-LBPD). In contrast to most of ex
Yes, sparse-coding-based methods are still important in the field of super-resolution, although their significance has evolved over time. Sparse coding has been a crucial component in the development of super-resolution algorithms, and it provided a solid foundation for later methods. It essentially...
method based on sparsely coded motion attention for de- tecting both GAE and LAE in crowded scenes. In this work, we apply the properties of sparse coding in measuring the uniqueness of events from the perspective of motion atten- tion. Fig. 1 illustrates the overview of the proposed method...
First, three hypotheses are introduced to achieve a linear combination of images based on sparse coding. Then, we convert the person re-identification problem into an optimization problem with sparse constraints. To reduce the influence of abnormal residuals caused by occlusion and body variation, a...
The convolutional sparse coding-based super-resolution (CSC-SR) method has shown its good performance in single image super-resolution. It divides the low-resolution (LR) image into low-frequency part and the high-frequency part, and reconstructs their corresponding high-resolution (HR) image ...
The sparse coding based linear spatial pyramid matching (ScSPM) is a popular SC-embedded classification method [9]. It computes a spatial pyramid image representation with SC of local descriptors instead of the K-means vector quantization (VQ) in traditional SPM [9], [10], and thus ...
Sparse Discriminant Analysis:稀疏判别分析 Sparse Matrix Methods:稀疏矩阵的方法 A review of automated feature recognition with rule-based pattern recognition MATERIAL AND CODING物料编码 相关搜索 基于稀疏点 基于稀疏表征 基于稀疏性的 基于稀疏先验的稀疏重建 基于稀疏模型的分类方法 基于强互耦的稀疏天线阵列设...
sparse codingIn the state-of-the-art saliency detection methods based on contrast priors, little attention is paid on the region smoothness constraints. The paper proposes a two-stage saliency detection method indoi:10.1007/978-3-662-45646-0_47Qiyang Zhao...
MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration 3 Nov 2024 · Kaiang Wen, Bin Xie, Bin Duan, Yan Yan · Edit social preview Precise alignment of multi-modal images with inherent feature discrepancies poses a pivotal challenge ...
Sparse CodingLocal Anchor Embedding (LAE)Label FusionObjective: We propose a multi-weighted probabilistic atlas to obtain accurate, robust, and reliable segmentation. The local similarity measure is used as the weight to compute the probabilistic atlas, and the distance field is used as the weight ...