static void predefine_ppc32(const struct target *self) { predefine_ppc(self); }const struct target target_ppc32 = { .mach = MACH_PPC32, .bitness = ARCH_LP32, .big_endian = 1, .unsigned_char = 1,.wchar = &long_ctype,.target_64bit = &target_ppc64,...
Hydroacoustic sampling of low-density fish in shallow water can lead to low sample sizes of naturally variable target strength (TS) estimates, resulting in both sparse and variable data. Increasing maximum beam compensation (BC) beyond conventional values (i.e., 3 dB beam width) can recover ...
A Sparse Target Matrix Generation Based Unsupervised Feature Learning Algorithm for Image Classification 来自 Semantic Scholar 喜欢 0 阅读量: 76 作者:D Zhao,B Guo,Y Yan 摘要: Unsupervised learning has shown good performance on image, video and audio classification tasks, and much progress has been...
Target recognition in SAR images using sparse representation based on feature space 基于特征参数稀疏表示的SAR图像目标识别 通过对合成孔径雷达(synthetic aperture radar,SAR)图像的统计特性分析,提出一种基于特征参数稀疏表示的SAR图像目标识别算法,有效地解决了图像域稀疏表示识别算法存在... WANG Yanxi,ZHANG Gong...
To overcome the shortcomings of the published DPD algorithms, a novel multi-target direct localization approach is firstly proposed by exploiting the jointly sparse property in the discrete spatial domain. The main idea of this paper is that the location estimation can be obtained by finding the ...
A major contribution of this work is the use of sparse least squares updating and downdating techniques, which significantly reduce the computational cost per iteration of the Markov chain. Also, when combined with a simple heuristic, they enable the algorithm to correctly focus computation on ...
Multitarget regression has recently generated intensive popularity due to its ability to simultaneously solve multiple regression tasks with improved performance, while great challenges stem from jointly exploring inter-target correlations and input-output relationships. In this paper, we propose multitarget...
Sparse representation is a new signal analysis method which is receiving increasing attention in recent years. In this article, a novel scheme solving high range resolution profile automatic target recognition for ground moving targets is proposed. The sparse representation theory is applied to analyzing...
We introduce a novel joint sparse representation based multi-view automatic target recognition (ATR) method, which can not only handle multi-view ATR without knowing the pose but also has the advantage of exploiting the correlations among the multiple views of the same physical target for a singl...
Target-Driven Visual Words Representation via Conditional Random Field and Sparse CodingSparse codingdictionary learningCRFmax-margin approachsaliency mapAt any given moment, humans eye captures a large amount of information simultaneously. Among these information, human visual system is able to select ...