Display color line defect detection is an important step in the production quality inspection process. In order to improve accuracy of low contrast defects, we propose a display method based on feature fusion. The saliency channels RG|GR and BY|YB were obtained using relative entropy maximum criterion. Then, combined with channel b calculate red-green blue-yellow fusion maps. map maps was by Fi...

Machine learning tasks such as image classification need to select the features that can describe well. The has individual and common features, they are interdependent. If only of emphasized, neural network is prone overfitting. images networks will not be able adapt diversified environments. In order better integrate based on skeleton edge extraction, this paper designed a mixed feature extrac...

With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...

In this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. Then, for optimizing the initial feature vector, a genetic algorithm is proposed. Some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and K-nearest neig...

Traditional two-step localization methods and direct have practical problems when they are used for underwater acoustic source localization. In this paper, a method based on the feature-level information fusion is proposed, in which Hough Transform exploited to detect line characteristics of spatial features target. A secondary accumulation procedure proposed extract fuse good instead fusing al...

Abstract Reliability analysis and reliability-based design have attracted huge attention since their origin, especially in the engineering optimization field. Integrating a novel grid feature (GF) mechanism into weighted simulation method (WSM), feature-based (GFWSM) is proposed this paper. By sorting samples random variable space, GF serializes failure probability calculation process, which ca...

With the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. One of the major problems in text classification relates to the high dimensional feature spaces. Therefore, the main goal of text classification is to reduce the dimensionality of features space. There are many feature selection methods. However...

Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...