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.
One problem for tour planner applications is to support dynamic tour paths based on tourists changing states. This paper introduces a concept of tour node space and ways of supporting dynamic tour paths by manipulating the tour-node-transition threshold. A prototype implemented using Google Maps JavaScript API demonstrates how an optimized multiple waypoint tour path and up-to-date direction information...
One of the issues for tour planning applications is to adaptively provide personalized advices for different types of tourists and tour activities. This paper proposes a high level Petri Nets based approach to providing some level of adaptation by implementing adaptive navigation in a tour node space. The new model supports dynamic reordering or removal of tour nodes along a tour path; it supports...
Spectral clustering has received a great deal of attention due to its flexibility on various type of geometry and its high-quality clustering results. However, with the rapid increase of data size, spectral clustering quickly becomes unfeasible because of its cubical complexity. Various sampling methods with at best quadratic complexity in time and space have been purposed. However, they are not able...
This paper presents a novel framework for image retrieval. In image feature extraction stage, we propose the gradient histogram Markov stationary features to represent the input image which is capable of characterizing the spatial co-occurrence of gradient histogram patterns. In image retrieval stage, the image training and retrieval process is treated as searching for an ordered optimal cycle in...
This paper presents a novel framework for image retrieval. In image feature extraction stage, we propose the gradient histogram Markov stationary features to represent the input image which is capable of characterizing the spatial co-occurrence of gradient histogram patterns. In image retrieval stage, the image training and retrieval process is treated as searching for an ordered optimal cycle in...
This paper proposes a new manifold entropy function based on local tangent space (LTS). With this entropy function, we further propose a framework for image retrieval. The retrieval is treated as searching for ordered cycles by categories in image datasets. The optimal cycles can be found by minimizing our manifold entropy of images.
Wireless sensor networks (WSNs) have wide applications due to these sensor nodes ease of deployment.But the security of WSNs is still an important issue. Some existed approaches mainly rely on cryptography to ensure data authentication and integrity. These approaches only address part of the problem of security in WSNs. However, these approaches are not sufficient for the unique characteristics and...
The knowledge acquisition bottleneck has become the major impediment to the development and application of effective knowledge systems. In this paper, we study the problem of extracting chemical laws from the abstract of Chinese scientific and formalizing the laws extracted to production rules. This task is different from traditional text based information extraction because how to encode the extracted...
In this paper, we utilize MeSH vocabulary to capture concepts of each word appearing in questions and documents and two new methods, contextual concept smoothing language model (CCSLM) and contextual concept language model (CCLM), are proposed to find the answer sentences from biomedical literature to questions proposed by biomedical experts. The concepts employed in the models, instead of keywords,...
Automatic expert finding systems aiming at identifying experts from a large set of document repository have attracted considerable interest in recent years. To better describe the relationship on expert-document and document-topic, we introduce the conception Role in our model and expand its use in expert search. We illustrate how the conception Role in our model helps to present an effective...
Social network visualization focuses on nodes lacking inherent layout semantics. Many previous mapping algorithms locating graph data into physical space are based on assumptions that space is in two-dimensions and that the visualization of huge graphs can be realized by dividing them into subgraphs independently for easier exploration. However, when physical space extends to three dimensions, the...
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.