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.
K-nearest neighbour (KNN) is a supervised classification technique that is widely used in many fields of study to classify unknown queries based on some known information about the dataset. KNN is known to be robust and simple to implement when dealing with data of small size. However it performs slowly when data are large and have high dimensions. Therefore, KNN classifiers can benefit from the parallelism...
Complex Event Processing (CEP) is a popular method to monitor processes in several contexts, especially when dealing with incidents at distinct points in time. Specific temporal combinations of various events are often of special interest for automatic detection. For the description of such patterns, one can either implement rules in some higher programming language or use some Event Description Language...
This paper describes an accuracy programmable sigmoidal neuron design and its hardware implementation. The “recursive neuron” can be adjusted to produce recursively more accurate and smoother piecewise linear approximations to the sigmoidal neural squashing function. This adaptive accuracy neuron, combined with a constructive training algorithm, can be used as the basic component for the implementation...
This paper deals with the evolutionary design of application specific feature shapes of Local Binary Pattern (LBP) features for object detection in image processing applications. LBP features are very often utilized in image classification systems which are used for pattern recognition. By using genetic algorithm the application of specific weak classifiers' feature shapes, which are highly optimized...
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.