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.
Deformable part models (DPM) is a typical machine-learning based detection technique. It can achieve great success in detecting accuracy, but have compute-intensive tasks which severely restricts its utilization in many real world applications. In order to get high frame-rate for practical use, accelerators and grid computing infrastructure are needed. This paper propose a grid scheduling scheme which...
A new vehicle recognition approach based on graph spectral theory and neural networks is proposed in this paper. In the approach, image threshold method based on graph spectral theory is used for image preprocessing. And after filter of undetermined regions with rules, regions left are gray-unified. These gray values are input into neural network to recognize vehicle and vehicle types. The experiment...
To decrease false alarm, a detection algorithm based on aspect invariant characteristics of sub-aperture images was proposed. Some aspect invariant characteristics features could be extracted based on a double-hump model and sent to classifier and the result was satisfied.
Ultrasonic techniques are wildly used in online partial discharge (PD) location and recognition for electrical transformers. This paper focuses on a new ultrasonic feature extraction method. The normalized discharge grey moment features are extracted from ultrasonic signals to perform PD recognition. These features are sent to an improved BP neural network as to perform pattern recognition. Two types...
Modulation recognition is the key problems in noncooperative communication, communication detection and communication surveillance. Non-cooperate communication is commonly used in civilian and military applications, where it is required to monitor the activities of communication signals in space and intercept the signal information content with little prior knowledge. The paper describes the principium...
The steady advance and healthful development of new countryside construction must depend on the scientific planning. The planning must be based on the correct, complete and good-currency status maps. Aiming to the urgent needs in practice, four approaches to producing status base maps, including integrated approach, generalized approach, updated approach and real-surveyed approach, are comparatively...
Aiming to the limitations of the existing GIS software, such as the lack of the corresponding function modules, no supports of the bulk processing, the requirements of many man-machine interactions, the inability to automatically and efficiently implement the updates propagation, a special tool for updates propagation is designed and realized based the component technology of ArcEngine. This tool...
Support vector machines (SVM) has been widely applied in the area of content-based image retrieval in order to learn high-level concepts from low-level image features. Most existing SVM based image retrieval algorithms only rely on global-based features to represent the image content, which obviously can not well reflect the image semantic content. Region-based representations are far more close to...
The scale invariant feature transform, SIFT, is invariant to image translation, scaling, rotation, and is partially invariant to illumination changes. But, the time of features extraction and matching is huge, and the number of features is much larger then that is needed. To reduce the number of features generated by SIFT as well as their extraction and matching time, a modified approach based sampling...
Microarray imaging is now widely used to monitor the activities of thousands of genes simultaneously in biological samples. While there are a number of methods in use for the quantification of microarray images, barriers still exist towards its feasibility for clinical use. Among them, automated spot segmentation is critical for accurate and high throughput measurements of gene expression levels from...
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.