14824084
News Video Retrieval by Learning Multimodal Semantic Information
With the explosion of multimedia data especially that of video data, requirement of efficient video retrieval has becoming more and more important. Years of TREC Video Retrieval Evaluation (TRECVID) research gives benchmark for video search task. The video data in TRECVID are mainly news video. In this paper a compound model consisting of several atom search modules, i.e., textual and visual, for news video retrieval is introduced. First, the analysis on query topics helps to improve the performance of video retrieval. Furthermore, the multimodal fusion of all atom search modules ensures to get good performance. Experimental results on TRECVID 2005 and TRECVID 2006 search tasks demonstrate the effectiveness of the proposed method.
15077294
Fudan University: hierarchical video retrieval with adaptive multi-modal fusion
This paper describes Fudan University's interactive video retrieval system. The system uses an adaptive multi-modal fusion method and enables the user to browse the results hierarchically across different levels of temporal granularity.
18521632
Mining Most General Multidimensional Summarization of Probably Groups in Data Warehouses
Data summarization is an important data analysis task in data warehousing and online analytic processing. In this paper, we consider a novel type of summarization queries, probable group queries , uch as “What are the groups of patients that have a50% or more opportunity to get lung cancer than the average?” An aggregate cell satisfying the requirement is called aprobable group . To make the answer succinct and effective, we propose that only the most general probable groups should be mined. For example, if both groups (smoking, drinking) and (smoking, *) are probable, then the former groups should not be returned. The problem of mining the most general probable groups is challenging since the probable groups can be widely scattered in the cube lattice, and do not present any monotonicity in group containment order. We extend the state-of-the-art BUC algorithm to tackle the problem, and develop techniques and heuristics to speed up the search. An extensive performance study is reported to illustrate the effect of our approach.
17495157
Summarization for Internet News Based on Clustering Algorithm
For the explosion of information in the World Wide Web, this paper proposed a new method of summarization for Internet news based on clustering algorithm. It used google search engine to extract relevant documents, and mixed query sentence into sentences set which segmented from relevant document set, then this paper adopted effective cluster algorithm to cluster all the sentences. In the period of summary generation, the summary sentences were extracted by turns from the clusters which query sentence in. Experimental result shows that the proposed summarization method can improve the performance of summary, clustering algorithm is effective.
206585854
N-Person Noncooperative Game with Infinite Strategic Space
It is wel-known that Nash considered the n-person noncooperative game with each player having finite strategic set and proved the celebrated existence result of Nash equilibrium point (in mixed strategies). This paper investigates the n-person noncooperative game with each player having infinite strategic set. By considering these infinite strategic as complete metric spaces and based on a new finite equilibrium system, we obtain new existence result of Nash equilibrium. Then an algorithm is given to compute Nash equilibrium points and its convergence is proved.
3115667
Synchronization of Rikitake Chaotic Attractor via Partial System States
This paper treats the chaotic synchronization problem for Rikitake chaotic systems via unidirectional coupling with partial systems states. Two control approaches, namely the self coupling of single state variable and nonlinear feedback controller with partial systems states, are investigated. Based on the Lyapunov stability technique, control laws based on single variable of driven system are derived such that the two identical Rikitake chaotic systems are asymptotically synchronized, where the control scheme doesn't need additional energy and it just relies on the self coupling of single state variable of the chaotic systems. Meanwhile, the complete synchronization for two identical Rikitake chaotic systems by feedback control laws with partial systems states is also derived using the conditions of asymptotical stability and exponential stability. Finally, numerical experimental results of two synchronized Rikitake chaotic systems are presented.
16456710
News Summarization Based on Semantic Similarity Measure
This paper proposed a new method of news summarization based on semantic similarity measure. It used Latent semantic indexing (LSI) to measure sentence similarity, then it used Singular Value Decomposition (SVD) to reduce the dimension of the word-sentence matrix, it used new clustering algorithm to cluster all the sentences. It ordered all the sentences according to their relevant positions in the original document. Experimental result shows that the proposed method can improve the performance of summary.