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35.163  Articles
1 of 3.517 pages  |  10  records  |  more records»
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In ... see more

This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify abnormal variable(s) when Shewhart-type multivariate control charts based on ... see more

From a conventional monological view, meaning-making is located in a particular statement. In conventional schools, students are positioned to be enactors of ready-made knowledge and skills on teacher’s demand based on their pattern-recognition and produc... see more

Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In p... see more

The beam notations is officially used as the standard of international music notation, and is often found in scores for both musical instruments and vocals. In Indonesia, the use of numerical notation is more widely used and understood, because the learni... see more

Over the last twenty years face recognition has made immense progress based on statistical learning or subspace discriminant analysis. This paper investigates a technique to reduce features necessary for face recognition based on local binary pattern, whi... see more

The analysis of the human gait is of great importance for the diagnosis and the choice of the type of treatment that the patient must obtain. In this work, we report a proposal of the capture of the movement and an interpretation of the signal obtained by... see more

AbstractBackground: Medical imaging (MI) education has experienced a shift aligned with the advances in technology and the role played by radiographers in pattern recognition. This has led to increased use of technology-enhanced teaching and simulated lea... see more

Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In p... see more

1 of 3.517 pages  |  10  records  |  more records»