The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Although numerous online learning strategies have beenproposed to handle the appearance variation in visualtracking, the existing methods just perform well in certaincases since they lack effective appearance learning mechanism. In this paper, a joint model tracker (JMT) is presented, which consists of a generative model based on MultipleSubspaces and a discriminative model based on improvedMultiple...
There are more and more data from Human Genome Project that we need better methods to deal with. Some mathematical models have been presented to analyze gene regulatory networks, such as Boolean networks Bayesian networks, differential equation, weight matrices, etc. Some of the models could describe some rules of the genetic regulatory relations properly, such as Bayesian networks, differential equation,...
This paper empirically studies factors determining the use of E-recruitment systems. The technology acceptance model(TAM)is used as the main framework and combines with other three factors. Firstly, a hypothetical model was given, which was derived from the integration of TAM, subjective norm, perceived risk, perceived expenses, job pressure. Secondly, the structural equation modeling(SEM) technique...
This paper empirically studies individual acceptance of recruitment on Internet and the factors was investigated according to technology acceptance model (TAM). Firstly, a hypothetical model was given, which was derived from the integration of TAM, subjective norm, perceived risk and perceived expenses. Secondly, the structural equation modeling (SEM) technique was used to evaluate the causal model...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.