An Auto-BodyCheckerDesignMethodand Its ApplicationBased onFeatureMapping 基于特征映射的车身检具设计方法 www.ilib.cn 10. AnImprovedSelf-organizingFeatureMappingAlgorithmBased onImageCompression 一种改进的自组织特征映射图像压缩算法 www.ilib.cn 1
As a method of neural network,the self-organizing feature mapping(SOFM) is an excellent approach for data mining, pattern classification and machine learning. The theory and algorithm of SOFM are discussed in detail in this article. Simultaneously analyze and summarize this algorithm: overcome the ...
In this section, by means of feature augmentation, we first state the deep structure of D&BLS and its learning algorithm and then derive three incremental learning algorithms of D&BLS for three incremental cases. Their computational complexities are also discussed. Structure and learning of D&BLS Gi...
y tolerance of one another. ArcGIS uses this algorithm to discover, clean up, and manage shared geometry between features. This means that coordinates are coincident (and are snapped to the same shared coordinate location). This is fundamental to many GIS operations...
In this paper, we present an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach reduces a class of similar function approximation problems to the explicit supervised one-shot training of a single data set. Thi...
effective feature learning algorithm, which simultaneously maximized the distance of between-class samples and minimized the distance of within-class samples, as well as maximized the correlation among inter-modality samples of the within-class. Finally, we integrated the block-wise histograms of the ...
因此这种dimension-reduce的策略可以大幅度减小计算量,同时通过很elegant的formulation在最后recover所有feature的position,这也就是摘要中所说的“we propose an algorithm to solve the robot poses only ("localisation") and show that the algorithm generates exactly the same robot poses in each iteration as the...
algorithm="Non-Negative Matrix Factorization" feature="8"> <Attribute name="EDUCATION" actualValue="Bach." weight=".211" rank="1"/> <Attribute name="CUST_MARITAL_STATUS" actualValue="NeverM" weight=".143" rank="2"/> <Attribute name="FLAT_PANEL_MONITOR" actualValue="1" weight=".137"...
主要本要针对特征匹配问题,提出了一个简单的基于统计的解决方法,可以快速区分出正确的匹配和错误的匹配,提高了匹配的稳定性。 首先来个直观的特征匹配图示 特征匹配是计算机视觉里一个基础性问题,对于特征匹配当前主要的问题在 robust 的匹配速度慢,快的匹配经常不稳定。 there is a wide performance gap between slow...
Based on the Img2Col algorithm described above, the shape of the final input feature map matrix is [N, HoutWout, HkWkCin], where HoutWout the height is and HkWkCin is the width. As shown in Fig. 6.25, since the Cin dimension is split by the Ascend AI processor, the shape of the...