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.
Software has been changing during its whole life cycle. Therefore, identification of source code changes becomes a key issue in software evolution analysis. However, few current change analysis research focus on dynamic language software. In this paper, we pay attention to the fine-grained source code changes of Python software. We implement an automatic tool named PyCT to extract 77 kinds of fine-grained...
Conference Web pages are the main platforms to share the conference information and organize conference events. To discover the academic knowledge from such Web pages for building academic ontologies or social networks, it is necessary to extract academic information from conference Web pages. This paper proposes an approach to extract academic information from conference Web pages. Firstly, Web pages...
Content-based image retrieval (CBIR), providing query by image examples other than key words, is a hot topic in recent years. Querying by words mainly depends on the performance of crawler, whereas query by example is more unpredictable, since feature extraction is still challenging due to the rich content of the image. This paper focuses on the issue of similarity retrieval in high-dimensional space,...
Query by image example is still a challenge in image retrieval. The goal of similarity retrieval in images is to get the similar images quickly and accurately in high-dimension space. The accuracy of similarity retrieval in high-dimension space is mainly decided by the features representing images and the method used for similar calculation. Our main goal in this paper is to improve the retrieval...
The CC4 neural network is a new type of corner classification training algorithm for three-layered feed forward neural networks. CC4 is now successfully used in meta search engine Anvish. When the documents are almost of the same size, CC4 neural network is an effective document classification algorithm. However, there is great difference in document sizes in general, and CC4 use the whole dictionary...
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.