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.
Vehicle detection is the core function in any Driver Assistant System. Besides the challenge in various environmental conditions, the limitation in execution time and computing power is also critical. This paper proposes a shadow detection step that aims at recognizing the shadow part of the train in various environments (including very tough cases) to accelerate the detection process. We propose...
The dynamic spectrum access method based on human ear perception can keep the quality of analog signal in HD Radio (Hybrid Digital Radio) stable, but it takes too much time to meet the real-time requirement of Radio. This paper proposes a dynamic spectrum access method in HD Radio based on BP NN (Back Propagation Neural Network). In the method, the data of dynamic spectrum access method based on human...
Template matching and machine learning are the common methods in character recognition. Generalized regression neural network(GRNN) belongs to machine learning, which has the advantages of simple design, fast convergence speed, requiring less training samples, with global approximation and the best approximation property, robustness and strong nonlinear processing ability than traditional classifiers...
In this paper, we present an automatic renal cortex segmentation approach using the implicit shape registration and novel multiple surfaces graph search. The proposed approach is based on a hierarchy system. First, the whole kidney is roughly initialized using an implicit shape registration method, with the shapes embedded in the space of Euclidean distance functions. Second, the outer and inner surfaces...
This paper presents a new eye localization method via Multiscale Sparse Dictionaries (MSD). We built a pyramid of dictionaries that models context information at multiple scales. Eye locations are estimated at each scale by fitting the image through sparse coefficients of the dictionary. By using context information, our method is robust to various eye appearances. The method also works efficiently...
Considered actions of Virtual battlefield individual with the intelligence and autonomy characteristic, internal factors that influence personnel external behavior were broken down into mate-Agents with considering behavior functions, and a battlefield individual behavioral model was advanced by aggregating mate-Agents. Mate-Agent structure was accomplished by intelligent model based on its main features,...
In this work, the localized generalization error model (L-GEM) for multilayer perceptron neural network (MLPNN) is derived. The L-GEM is inspired by the fact that a classifier should not be required to recognize unseen samples that are very different from the training samples. Therefore, evaluating a classifier by very different unseen samples may be counter-productive. In the L-GEM, the ldquolocalrdquo...
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.