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.
Being able to search for words or phrases in historic handwritten documents is of paramount importance when preserving cultural heritage. Storing scanned pages of written text can save the information from degradation, but it does not make the textual information readily available. Automatic keyword spotting systems
similarities between posteriorgrams. In addition to deriving the lower-bound estimate, we show how it can be efficiently used in an admissible K nearest neighbor (KNN) search for spotting matching sequences. We quantify the amount of computational savings achieved by performing a set of unsupervised spoken keyword spotting
Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related
(ANN) based hybrid phoneme recognizer. The phone posteriors of query word and reference data are matched by using the non-segmental Dynamic Time Warping (DTW) technique. In order to make the decision about the presence or absence of a keyword in a particular reference file, image processing based approach is proposed. The
directly on screen, and compiled within a viewing system. The software used to access the processed material adopts a similar style to the authoring tool and provides a full set of navigation devices. These include linear progression, keyword or topic search, and hypertext links.The material processed to date is only a
system to assist the users in easily accessing the information and have an enjoyable experience browsing Kotenseki images. There are two main functions comprising keyword-based and image-based queries. We also provide automatic detection of objects within the original images to create a database of feature vectors. Our
rank the outputs of a keyword-programming based translation. We applied our framework to three domains: repetitive text editing, an intelligent tutoring system, and flight information queries. On 1200+ English descriptions, the respective synthesizers rank the desired program as the top-1 and top-3 for 80% and 90
Useful information from a text document can be extracted using text mining techniques. Many text mining methods are generally uses term or keyword based approach. They all have advantages, but get stuck into the issue of synonymy: two terms have the same meaning and polysemy: one term has many meanings. So phrase
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.