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.
A novel RRAM-based pattern recognition system with locally inhibited post-neurons is developed. The system is able to learn the whole MNIST training set (60,000 patterns). By using the system, the same post-neuron is fired by the similar patterns in the same training class, which causes the reduction of hardware cost. With the locally inhibited post-neuron, the system can achieve more than 90.73%...
This paper proposes a GA-SVM classification method which is applied to the dynamic evaluation of taekwondo. For classifying a dynamic action, we converted a dynamic action signal to a frequency spectrum signal for analysis. However, the useful features were concentrated in a part of the frequency spectrum, and the useless features led to a decline in accuracy, operation speed, and efficiency of the...
An analog neuromorphic system is developed based on the fabricated resistive switching memory array. A novel training scheme is proposed to optimize the performance of the analog system by utilizing the segmented synaptic behavior. The scheme is demonstrated on a grayscale image recognition. According to the experiment results, the optimized one improves learning accuracy from 77.83% to 91.32%, decreases...
Obtaining the expertise to perform minimally invasive cardiac interventions requires thorough training. We developed a real-time system for training in catheter ablation of atrial fibrillation, which can simulate the sheath/catheter movement and deformation in the left atrium. The behavior of the sheath/catheter is simulated using a hybrid bilayer deformation model based on geometric deformation technology...
Effective software defect estimation can bring cost reduction and efficient resources allocation in software development and testing. Usually, estimation of defect-prone modules is based on the supervised learning of the modules at the same logical level. Various practical issues may limit the availability or quality of the attribute-value vectors extracting from the high-level modules by software...
Automatic image annotation is a promising methodology for image retrieval. However most current annotation models are not yet sophisticated enough to produce high quality annotations. Given an image, some irrelevant keywords to image contents are produced, which are a primary obstacle to getting high-quality image retrieval. In this paper an approach is proposed to improve automatic image annotation...
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.