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Nowadays, mobile devices have been considered as a new platform for information services, and have been widely used in many fields. In mobile application services, the processing and representation of data is a key issue which has a great impact on the service quality. Knowledge map is regarded as an effective method and has been widely utilized in mobile devices. However, traditional knowledge maps...
With the rapid development of Internet, how to obtain and represent personalized information in user's activity of information seeking is a key issue in information retrieval. This paper presents a novel method to build personalized search context which represents semantic background in user's information seeking. Search context is composed of terms and semantic relation which is extracted based on...
Outlier detection is an interesting data mining task, which detects rare events. This paper focuses on the method of outlier detection based on frequent pattern (FP method for short). First we analyze the drawback of this method, and then an improved method (LFP method for short) has been presented. Finally, we evaluate the two methods by using several datasets and the experiment results show that...
At present, object-extraction is one of the key problems of the data-procession to the aerial LIDAR dataset. The aim of this paper is to research the methods to classify and extract the object-points from the cloud points obtained by the aerial LIDAR system. In this paper, based on the different feature of elevation and intensity of different objects, the laser-points of buildings, vegetation and...
Popular photo-sharing sites have attracted millions of people and helped construct massive social networks in cyberspace. Different from traditional social relationship, users actively interact within groups where common interests are shared on certain types of events or topics captured by photos and videos. Contributing images to a group would greatly promote the interactions between users and expand...
Bag of visual words model has shown interesting capabilities of object category recognition. Considering that there is different discriminative ability of each visual word for object categorization, we propose a novel method based on maximization of mutual information to measure the discriminative ability of words and then give a visual vocabulary optimization algorithm based on more discriminative...
In the ant colony system (ACS) algorithm, ants build tours mainly depending on the pheromone information on edges. The parameter settings of pheromone updating in ACS have direct effect on the performance of the algorithm. However, it is a difficult task to choose the proper pheromone decay parameters ?? and ?? for ACS. This paper presents a novel version of ACS algorithm for obtaining self-adaptive...
Clouding computing is considered as one of the most promising computing paradigms. Most already existing systems, which provide cloud computing, only pay attention to aggregating resources with the same computing capability and provide user with local optimized and discontinuous results. To satisfy users' complex requirements it's necessary to orchestrate resources with different functions together...
Object tracking is important for video analysis applications. However, tracking through occlusions is a difficult task due to significant appearance changes of the objects. Approaches based on either global features or one kind of local features can not solve the problem completely. In this paper, a multi-cue based tracking approach is introduced. It combines a corner tracking with a color and a shape...
ID uniqueness is essential in DHT-based systems as peer lookup and resource searching rely on ID-matching. Many previous works and measurements on Kad do not take into account that IDs among peers may not be unique. We observe that a significant portion of peers, 19.5% of the peers in routing tables and 4.5% of the active peers (those who respond to Kad protocol), do not have unique IDs. These repetitions...
Personalized services provide specific services to satisfy userpsilas real-time requirements. How to effectively discover and organize proper Web resources is a key issue. Based on Web knowledge flow which is used to semantically organize and represent Web resources that are recommended to user, this paper presents a 3-way strategy of finding proper resources for a user in multi-user environment....
Associating image content with their geographic locations has been increasingly pursued in the computer vision community in recent years. In a recent work, large collections of geotagged images were found to be helpful in estimating geo-locations of query images by simple visual nearest-neighbors search. In this paper, we leverage user tags along with image content to infer the geo-location. Our model...
Popular photo-sharing sites have attracted millions of people and helped construct massive social networks in Cyberspace. Different from traditional social relationships, users actively interact in groups where common interests are shared on certain types of events or topics captured by photos and videos. Contributing images to an interest group would greatly promote interactions between users and...
A micro-beam of a creative smart resonating gas sensor with a self-actuating and detecting (SAD) system is presented. The smart SAD sensor, in which the resonance frequency shifting of the MEMS cantilever is monitored to probe its mass change caused by adsorption of certain gas molecules, has never need exclusive detection circuits and instruments, and the micro-beam has never need additional detective...
Associated knowledge flow (AKF) is a sequential link between associated topics, which can be applied to intelligent browsing and personalized recommendation. One key problem is how to measure the knowledge delivery quantity (KDQ) on an AKF. In this paper, a computational method of knowledge delivery quantity on an AKF is proposed. Firstly, considering the keywords and associated relations between...
Intelligent browsing of topics is one of the key issues of the Web and the knowledge grid, which provides on-demand services to support knowledge discovery and innovation. In this paper, Background of topics composed by Associated Relations (BAR) between keywords belonging to one domain is developed to extend the topicspsila associated relations based on the element fuzzy cognitive maps (E-FCMs),...
LPI is not efficient in time and memory which makes it difficult to be applied to very large data set. We propose a optimal algorithm called FLPI. FLPI decomposes the LPI problem as a graph embedding problem plus a regularized least squares problem. Such modification avoids eigen decomposition of dense matrices and can significantly reduce both time and memory cost in computation. Moreover, with a...
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