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.
Topological features are very seldom exploited in image processing, also due to the complexity of their extraction. When topological features are used, densitometric information are usually not considered at the same time. The simultaneous exploitation of both kinds of features, as proposed in this paper, allows a more appropriate automatic processing of digital images. A novel image segmentation...
Finding relevant documents in digital libraries has been a well studied problem in information retrieval. It is not uncommon to see users browsing digital collections without having a clear idea of the keyword search that they should perform. However, we believe that such initial query search is not totally independent from the target search. Therefore, we use these initial document selections to...
In this paper, the noise filtering problem (??de-noising?? problem) is approached via a suitable modification of the traditional Luenberger observer approach, also known as the ??high gain observer?? approach (HGO). The HGO observer is, fundamentally, a Luenberger observer with large stable eigenvalues of the output estimation error dynamics. HGO and some of its modifications have been particularly...
Variable neighbourhood search is a metaheuristic combining three components: generation, improvement, and shaking components. In this paper, we describe a continuous variable neighbourhood search algorithm based on three specialised evolutionary algorithms, which play the role of each aforementioned component: 1) an EA specialised in generating a good starting point as generation component, 2) an...
In this work, the Full-Wavelet Region of Interest Extraction Method (FWREM) is explained, where a ROI (Region of Interest) in a image can be accessed with a unique representation space, avoiding additional processing over the Image Space, in order to preserve the quality of desired details. In this case, a Region of Interest can be displayed, with the same perceived-distortion features, but with features...
This paper presents the design and application of an adaptative control method for a bilateral system of teleoperation. The scheme and control of algorithm have been formulated in the state space following a control technique of the master and the slave state convergence. Based on the mentioned control scheme, gains on the control loop in order to obtain a stable bilateral system with the desired...
The flexible architecture of evolutionary algorithms allows specialised models to be obtained with the aim of resembling other algorithms, but performing more satisfactorily. In fact, several evolutionary proposals playing the role of local search methods have been proposed in the literature. In this paper, we make a step forward extending an innovative model recently proposed, which performs local...
This paper presents FLOSSMetrics, a European Commission 6th Framework Programme- funded research project. The main objective of FLOSSMETRICS is to construct, publish and analyse a large scale database with information and metrics about libre software development coming from several thousands of software projects, using existing methodologies, and tools already developed. The project also provides...
The determination of right boundaries during phoneme segmentation of a speech signal is an important part in the process of automatic speech recognition. However, when no information is provided about the meaning of the signal, this segmentation process becomes very difficult. Currently, most of the methods used to detect boundaries of phonemes are based in the identification of variations in distances...
This paper describes the work developed by Telefonica I+D about an application of advanced data mining, text mining and machine learning techniques for the study of the network elements failures managed by the trouble ticketing system of a large telecommunication company, in order to be able to analyze, prioritize and, in some cases, solve without human intervention the huge amount of trouble reports...
Distance computation is one of the most computationally intensive operations employed by many data mining algorithms. Performing such matrix computations within a DBMS creates many optimization challenges. We propose techniques to efficiently compute Euclidean distance using SQL queries and user-defined functions (UDFs). We concentrate on efficient Euclidean distance computation for the well-known...
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.