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...
2.1 Predefined dictionary-based sparse coding The dictionaries of PDSC model are hand-selected atoms according to prior knowledge of specific problem, such as sinusoidal dictionaries, wavelet dictionaries or compound over-complete dictionaries, etc. Once the dictionary is selected, the remaining task is...
Our model is only loosely based on biology: at its core, it is mainly a computational exploration of compartmentalised input integration in the context of sparse coding, and whether biological neurons make use of similar principles remains an open question. But it does suggest phenomenological inte...
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...
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计 基于稀疏处理的波束形成算法改进 基于稀疏表示的图像分类研究...
1) reading a training set and constituting a dictionary with the training set; 2) reading a test sample and extracting the feature of the test sample; 3) performing sparse expression on the test example by using the training set dictionary in virtue of a sparse coding algorithm; and 4) per...
1 What is the Goal of Sensory Coding: 介绍了两种sensory coding 的方式 PCA 和 Sparse coding,并比较了他们的优缺点,指出对于大 多数生物信息处理来说多采用sparse coding的方式。 2 Sparse coding with an overcomplete basis set A strategy employed by V1 : (戴纬) ...
we propose a novel sparse coding based method to investigate brain dynamics of freely-behaving mice from the perspective of functional connectivity, using super-long local field potential (LFP) recordings from 13 distinct regions of the mouse brain. Compared with surrogate datasets, six and four rep...
be sparsely encoded using neuron activities and stored dictionary elements. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals. Using the sparse coding algorithm, we also perform natural image processing based on a learned dictionary...