检索结果-内蒙古大学图书馆

A dynamic description logic based system for video event detection

Frontiers of Electrical and Electronic Engineering in China 2010年第2期5卷 137-142页

作者： Xiaofeng WANG Liang CHANG Zhixin LI Zhongzhi SHI The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100049China School of Computer and Control Guilin University of Electronic TechnologyGuilin 541004China

Video event detection is an important research area *** the video event is a key problem in video event *** this paper,we combine dynamic description logic with linear time temporal logic to build a logic system for video event *** proposed logic system is named as LTD_(ALCO)which can represent and inference the static,dynamic and temporal knowledge in one uniform logic *** on the LTD_(ALCO),a framework for video event detection is *** video event detection framework can automatically obtain the logic description of video content with the help of ontology-based computer vision techniques and detect the specified video event based on satisfiability checking on LTD_(ALCO)formulas.

关键词： video event semantics dynamic description logics reasoning ontology

来源：评论

学校读者我要写书评

暂无评论

Research on Ranking Support Vector machine and prospects

Research on Ranking Support Vector machine and prospects

引用

作者： Ding, Shi-Fei Liu, Xiao-Liang Zhang, Li-Wen School of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9787894631046

Learning to rank is designed to determine a ranking for the target objects according to some rule. Specifically, the problem about learning to rank is to learn a ranking function from a training set whose data has been ranked. It is most applied to the social sciences and information retrieval. Learning to rank is a hot issue in the field of information retrieval and machine learning at present. This paper analyses the process of Ranking Support Vector machine (RSVM) from a theoretical point of view from the classification and regression respectively, and sets up the two basic mathematical models about RSVM. The general introduction about RSVM in the application, training speed and generalization ability is also given. In the end, we come to a conclusion.

关键词： information retrieval

来源：评论

学校读者我要写书评

暂无评论

Conditional Random Fields for Machine Translation System Combination

Conditional Random Fields for Machine Translation System Com...

引用

International Conference on Asian Language processing (IALP)

作者： Tian Xia Shandian Zhe Qun Liu Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Minimum Error Rate Training (MERT) as an effective parameters learning algorithm is widely applied in machine translation and system combination area. However, there exists an ambiguity problem in respect to the training goal and it is hard for MERT to tackle, that is different parameters may lead to the same minimum error rate in training but greatly different performances in testing. We propose a novel training objective as the unique goal for training towards, namely partial references, and by use of conditional random fields (CRF) to cast the decoding procedure in system combination as a sequence labeling problem. Experiments on Chinese-English translation test sets show that our approach significantly outperforms the MERT-based baselines with less training time.

关键词： Training Helium Decoding Computational modeling Skeleton Context modeling Error analysis

来源：评论

学校读者我要写书评

暂无评论

Associated clustering and classification method for electric power load forecasting

引用

作者： Dou, Quansheng Fu, Kailei Zhu, Haiyan Jiang, Ping Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China School of Computer Science and Technology Shandong Institute of Business and Technology Yantai 26400 China

ISBN: (纸本)3642163262

In the process of power load forecasting, electricity experts always divide the forecasting situation into several categories, and the same category uses the same forecasting model. There exists such a situation that some load curve which domain experts consider belonging to the same category has shown the different characteristics, but some load curve which belongs to different category seems very similar, and usually able to gather into a category by clustering. For this problem, the definition of associated matrix was proposed in this paper, and based on this conception the associated clustering- classification algorithm was proposed, We applied this algorithm to data sample classification for power load prediction, the experiment showed that the classification results obtained by our method were more reliable. © 2010 IFIP.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Doppler blood flow signal analysis meets traditional Chinese pulse diagnosis

Doppler blood flow signal analysis meets traditional Chinese...

引用

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Xiaorui Jiang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

In traditional Chinese pulse diagnosis (TCPD), diseases of internal organs can be detected by recognizing pulse waveform patterns of wrist radial arterial. However pulse waveform analysis, for which Doppler diagnosis is a powerful tool, is limited to cardiovascular diseases. This paper tries to fill the gap between TCPD and Doppler diagnosis by applying signal analysis and pattern recognition technologies to Doppler blood flow signals (DBFS's) of wrist radial arterial, which are recorded from both hands of healthy people, gastritis and cholecystitis patients. DBFS's are classified using the features proposed by an L2-soft margin support vector machine (L2-SVM): five clinical Doppler parameters (DP), wavelet energies (WE), wavelet packet energies (WPE), and piecewise axially integrated bispectra (PAIB). 5-fold cross validation is used for performance evaluation. The sick are differentiated from the healthy with an accuracy of about 80% using DP, WE and WPE, while the classification rate between gastritis and cholecystitis reaches 100%. Using PAIB, ether two groups of subjects are classified with accuracy greater than 93%. Gastritis is more accurately recognized than cholecystitis, while the latter is recognized with a higher accuracy on data from the left hand than right. Though the sample size is relatively small, we still argue that the methods proposed here are effective and could serve as an assisstive tool for TCPD.

关键词： Doppler effect Wavelet packets Feature extraction Diseases Wrist Pathology Accuracy

来源：评论

学校读者我要写书评

暂无评论

Preservative translations between logical systems

引用

作者： Shen, Yuming Ma, Yue Cao, Cungen Sui, Yuefei Wang, Ju Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100190 China Graduate University of Chinese Academy of Sciences 100049 China School of Computer Science and Information Engineering Guangxi Normal University 541004 China

ISBN: (纸本)3642163262

This paper investigates a subclass of translations between logical systems, called the preservative translations, which preserve the satisfiability and the unsatisfiability of formulas. The definition of preservative translation is given and connections between the preservative translation and other definitions of translations in the literature are discussed. Some properties of logical systems, such as the compactness and the decidability, which are characterized by the existence of preservative translations between logical systems are also studied. © 2010 IFIP.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Collaborative dual-PLSA: Mining distinction and commonality across multiple domains for text classification 10

Collaborative dual-PLSA: Mining distinction and commonality ...

引用

Proceedings of the 19th ACM international conference on information and knowledge management

作者： Zhuang, Fuzhen Luo, Ping Shen, Zhiyong He, Qing Xiong, Yuhong Shi, Zhongzhi Xiong, Hui Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China Graduate University of Chinese Academy of Sciences China Hewlett Packard Labs China China Innovation Works China MSIS Department Rutgers University United States

ISBN: (纸本)9781450300995

The distribution difference among multiple data domains has been considered for the cross-domain text classification problem. In this study, we show two new observations along this line. First, the data distribution difference may come from the fact that different domains use different key words to express the same concept. Second, the association between this conceptual feature and the document class may be stable across domains. These two issues are actually the distinction and commonality across data domains. Inspired by the above observations, we propose a generative statistical model, named Collaborative Dual-PLSA (CD-PLSA), to simultaneously capture both the domain distinction and commonality among multiple domains. Different from Probabilistic Latent Semantic Analysis (PLSA) with only one latent variable, the proposed model has two latent factors y and z, corresponding to word concept and document class respectively. The shared commonality intertwines with the distinctions over multiple domains, and is also used as the bridge for knowledge transformation. We exploit an Expectation Maximization (EM) algorithm to learn this model, and also propose its distributed version to handle the situation where the data domains are geographically separated from each other. Finally, we conduct extensive experiments over hundreds of classification tasks with multiple source domains and multiple target domains to validate the superiority of the proposed CD-PLSA model over existing state-of-the-art methods of supervised and transfer learning. In particular, we show that CD-PLSA is more tolerant of distribution differences. © 2010 ACM.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

AUTOMATIC IMAGE ANNOTATION WITH CONTINUOUS PLSA

AUTOMATIC IMAGE ANNOTATION WITH CONTINUOUS PLSA

引用

IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Zhixin Li Zhiping Shi Xi Liu Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424442959

Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we firstly extend probabilistic latent semantic analysis (PLSA) to model continuous quantity. In addition, corresponding Expectation-Maximization (EM) algorithm is derived to determine the model parameters. Furthermore, in order to deal with the data of different modalities in terms of their characteristics, we present a semantic annotation model which employs continuous PLSA and standard PLSA to model visual features and textual words respectively. The model learns the correlation between these two modalities by an asymmetric learning approach and then it can predict semantic annotation for unseen images. We compare our approach with several state-of-the-art approaches on a standard Corel dataset. The experiment results show that our approach performs more effectively and accurately.

关键词： automatic image annotation continuous PLSA latent aspect model image retrieval image retrieval auto-marking images ANNOTATIONS AUTOMATIC Semantics model parameters

来源：评论

学校读者我要写书评

暂无评论

Stability analysis of a T-S fuzzy stochastic PSO model

Stability analysis of a T-S fuzzy stochastic PSO model

引用

International Conference on Signal processing Proceedings (ICSP)

作者： JiQiang Feng WeiXin Xie Chen Xu Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China Institute of Intelligent Computing Science Shenzhen University Shenzhen China

Many theoretical and experimental results have appeared recently on the stability of T-S fuzzy systems and the convergence of the Particle Swarm Optimization (PSO) algorithm. In this paper, we present a T-S fuzzy stochastic PSO model in which the PSO algorithm is viewed as a time-invariant linear plant with a time-varying feedback controller that is embedded in the T-S fuzzy state system. The randomly weighted sum of the cognition component and social component is used as the state feedback controller in the local linear state system, and the PSO algorithm is theoretically improved from one that performs single stochastic optimization to one that performs fuzzy stochastic optimization. Conditions for asymptotic stability of the new model are given using the T-S fuzzy stability theory.

关键词： Stochastic processes Stability analysis Particle swarm optimization Mathematical model Analytical models Asymptotic stability Optimization

来源：评论

学校读者我要写书评

暂无评论

A NOVEL SPARSE CODING MODEL BASED ON STRUCTURAL SIMILARITY

A NOVEL SPARSE CODING MODEL BASED ON STRUCTURAL SIMILARITY

引用

IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Zhiqing Li Zhiping Shi Xi Liu Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424442959

Understanding and modeling the function of the neurons and neural systems are primary goal of systems neuroscience. Sparse coding theory demonstrates that the neurons in primary visual cortex form a sparse representation of natural scenes in the viewpoint of statistics. In this paper, we propose a novel sparse coding model based on structural similarity (SS_SC) for natural image feature extraction. The advantage for our model is to be able to preserve structural information from a scene, which human visual perception is highly adapted for. Using the proposed sparse coding model, the validity of image feature extraction is testified. Furthermore, compared with standard sparse coding (SC) model, the experimental results show that the quality of reconstructed images obtained by our method outperforms the SC method.

关键词： Natural image sparse coding structural similarity computational model biological visual system Sparse coding Computational modeling Visual System image feature natural scenes Feature extraction Neurons sparse representation Visual Perception Striate Cortex

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：