نتایج جستجو برای: recognition training
تعداد نتایج: 549593 فیلتر نتایج به سال:
abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...
this comment on professor fotaki’s editorial agrees with her arguments that training health professionals in more compassionate, caring and ethically sound care will have little value unless the system in which they work changes. it argues that for system change to occur, senior management, government members and civil servants themselves need training so that they learn to understand the effec...
handwritten digit recognition can be categorized as a classification problem. probabilistic neural network (pnn) is one of the most effective and useful classifiers, which works based on bayesian rule. in this paper, in order to recognize persian (farsi) handwritten digit recognition, a combination of intelligent clustering method and pnn has been utilized. hoda database, which includes 80000 p...
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
Handwritten digit recognition can be categorized as a classification problem. Probabilistic Neural Network (PNN) is one of the most effective and useful classifiers, which works based on Bayesian rule. In this paper, in order to recognize Persian (Farsi) handwritten digit recognition, a combination of intelligent clustering method and PNN has been utilized. Hoda database, which includes 80000 P...
conclusions acute administration of u. dioica impairs the object-recognition task if it is used only before the training session. this may be due to its modulation on the acquisition processing of object-recognition. u. dioica has no significant effects on the consolidation or retrieval processing stages of the nor task. these results emphasize the unfavorable effect on cognitive function of pr...
on- the-job training on of the most effective tools for managers to cope with the changing organizational environment. it grantess suitable services to customers, particularly in public service enterprises. if such training os goal oriented, planned systematically, and tailored to the employees, job content, then not only it could increase employees and organizational performance, but also it c...
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