Design PatternsJavaSoftware DevelopmentGet an overview of design patterns, then use what you've learned to evaluate whether the Composite pattern is a good choice for a particular Java use case Numerous strategies have been devised to simplify and reduce the costs of designing software, especially...
Through professional training < a target= "_blank" href= "//www.sjfzxm.com/" > strong > designer < /strong > /a > can change all kinds of theme pattern elements into different shapes, make up a pattern, then design the appearance of fabric according to the principle of fabric color d...
Binary and multi-class classifications are subcategories of single-label classification that concern learning from a set of samples that are associated with a single label. From: Pattern Recognition, 2021 About this pageAdd to MendeleySet alert ...
In the design of a pattern classifier,it is difficult or impossible to acquire all the necessary essential attributes for precise classification,so both the fuzzy uncertainty and rough uncertainty coexist in classification. A FRMFN(Fuzzy-Rough Membership Function Neural Network) was designed,based on ...
Any techniques that further this aim should be in the conceptual toolbox of the designer of pattern recognition systems. Our prototype system to perform this very specific task might well have the form shown in Fig. 1.1. First the camera captures an image of the fish. Next, the camera...
This paper presents geometric feature-based model for age group classification of facial images. The feature extraction is performed considering significan... IZADPANAHI,SHIMA,TOYGAR,... - 《International Journal of Pattern Recognition & Artificial Intelligence》 被引量: 8发表: 2014年 ...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch - lucidrains/vit-pytorch
Power quality disturbance (PQD) is an important problem affecting the safe and stable operation of power system. Traditional single modal methods not only have a large number of parameters, but also usually focus on only one type of feature, resulting in
In Ref.10, an improved local directional pattern (ILDP) is developed that captures diagonal pattern features based on the variation of local derivative. ILDP constituting of support vector machine (SVM), K-nearest neighbor (KNN), and CNN classifiers has achieved superior performance compared to ...
2a). From these geometric and dynamic profiles, we defined our spatiotemporal activity profile index (GeoDyn) to describe quantitatively each type of neural activity pattern. Figure 2 Design of geometric and dynamic profiles. (a) Two major components of brain activity patterns: (1) amplitude ...