Finally, a weighted sparse representation method based on the prior information provided above is proposed to extract the impact features. Moreover, it is found that the extracted components have a strong鈥搘eak cyclic impact feature in the chipped planetary gear sets. The features and ...
Weighted sparse representationMotor imagery (MI) based brain-computer interface systems (BCIs) are highly in need for a large number of real-time applications such as hands and touch-free text entry system, movement of a wheelchair, movement of a cursor, prosthetic arm movement, virtual reality ...
Keywords: sparseclassification;weightednearestneighborclasses;linearrepresentation;PCA;blocksparserepresen tation 1 引言 人脸识别因其应用广泛且典型而成为模式识 别和机器视觉领域的研究重点,MaYi等首先将稀疏 表示应用于人脸识别,由于其下采样和协同稀疏表
Ma, “Robust face recognition via sparse representation” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210 –227, 2009.】它的motivation是:即使数据是高维的,来自同一类的样本往往位于原始特征空间的相同低维子空间中。如果可以找到一个好的basis,那么可以使用正则化来...
The sparse representation enabled a full extraction of terrain information from the low-resolution and high-precision 90 m TanDEM-X DEM. The adaptive regularisation variation framework solved the terrain discontinuities (e.g., noise) and preserved topographical features, thus ensuring the fused DEM ...
we propose a new method called weighted block-sparse low rank representation (WBSLRR) which considers the available prior knowledge while learning a low rank data representation, and also develop a simple but effective approach to obtain the clustering result of faces. Moreover, after using several...
Then, a joint sparse representation (JSR) classification is used to obtain the representation residuals of different pixels. Finally, the class label of each pixel is determined by the defined decision function that combines the WSCR and JSR. Experimental results obtained on two real HSI datasets ...
Radar high-resolution range profile recognition via geodesic weighted sparse representation One of the radar high-resolution range profile (HRRP) recognition issues is the target-aspect sensitivity. Both theoretical analysis and real-world data sh... J Wang,Y Li,K Chen - 《Iet Radar Sonar Navigati...
The new schemes are shown to outperform the traditional method in the applications, such as component detection, sparse representation for ECG signal and 2-d time series modeling. Besides, experimental results also indicate that subtree based algorithm is with much lower time complexity than tree ...
Sparse representation has been recently extensively studied for visual tracking and generally facilitates more accurate tracking results than classic methods. In this paper, we propose a sparsity-based tracking algorithm that is featured with two components: 1) an inverse sparse representation formulation ...