检索结果-内蒙古大学图书馆

International Conference on systems and Informatics (ICSAI)

作者： Yifei Liu Zhenjun Han Qixiang Ye Jianbin Jiao Ce Li Pattern Recognition and Intelligent System Development Laboratory Chinese Academy of Sciences Beijing China

In this paper, a novel sparse feature representation method for object tracking is proposed. The method is on the observation that a tracked object can be dynamically and compactly represented by a few features (sparse representation) from a large feature set (the improved histogram of oriented gradient and color, HOGC). Based on the HOGC features, the sparse representation can be learned online from the constructed training samples during the tracking procedure by exploiting the L1-norm minimization principle, which can also be called feature selection procedure, ensuring the tracking can adapt to the appearance variations of either foreground or background. Experiments with comparisons demonstrate the effectiveness of the proposed method.

关键词： Feature extraction Humans Image color analysis Tracking Visualization Training Minimization

来源：评论

学校读者我要写书评

暂无评论

Integrating segmentation and classification accuracy for accuracy assessment in object-based image analysis

Integrating segmentation and classification accuracy for acc...

引用

2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012

作者： Li, Nan Huo, Hong Fang, Tao Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

ISBN: (纸本)9781467301718

An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relationship between pixels and their corresponding segments according to the overlaps of segments and reference polygons. Then, two improved confusion matrices that take the segmentation errors into consideration are used: one for pixel-level classification results, and the other for object-level classification results. A final accuracy assessment combines the statistics of these two confusion matrices. The proposed method can be applied to segmentation scale selection in the hierarchical interpretation system. An experiment on a SPOT5 image demonstrates the effectiveness of this method for segmentation scale selection, which can guide the fusion of objects of different scales to obtain a higher accuracy. © 2012 IEEE.

关键词： Image analysis

来源：评论

学校读者我要写书评

暂无评论

INTEGRATIVE LABELING BASED STATISTICAL COLOR MODELS WITH APPLICATION TO SKIN DETECTION

INTEGRATIVE LABELING BASED STATISTICAL COLOR MODELS WITH APP...

引用

IEEE International Conference on Image Processing

作者： Mingzhi Dong Liang Yin Jun Guo Weihong Deng Weiran Xu Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China

To alleviate the workload of labeling before estimating certain color distributions, integrative labeling is introduced, which merely needs to figure out whether a picture contains positive-class regions or not and then all pixels of the picture are treated as positive or negative class training samples. Integrative labeling, however, results in heavy mixture of training samples. Thus traditional generative density estimation methods can't be used directly in that they perform poorly with heavily polluted training samples. In this paper, by utilizing the prior knowledge of high separability between positive and negative class color distributions, a discriminative learning based GMM(DiscGMM) is proposed for integrative labeling. Besides generating the polluted positive-class samples with comparatively high probability, optimal parameters found by DiscGMM also enjoy a comparatively low probability of generating negative-class samples. The parameter learning problem is solved by a modified Expectation Maximization (EM) algorithm. In an integrative labeling experiment of skin detection, DiscGMM is testified to enjoy much better performance than generative density estimation methods and shows qualified results.

关键词： Labeling Training Skin Image color analysis Histograms Estimation Linear programming

来源：评论

学校读者我要写书评

暂无评论

A SESSION-ORIENTED RETRIEVAL MODEL BASED ON MARKOV RANDOM FIELD

A SESSION-ORIENTED RETRIEVAL MODEL BASED ON MARKOV RANDOM FI...

引用

The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Yasi Gao Chuang Zhang Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

In this paper,we study how to use the search session information to improve the retrieval *** propose a session-oriented retrieval model based on Markov random *** model introduces the correlations between query terms as a retrieval factor into the retrieval *** also presents a dynamic update algorithm based on the analysis of users' search *** model implements a complete session-oriented information retrieval framework *** use ClueWeb09 category B dataset and TREC 2010 (2011) Session dataset to quantitatively evaluate the *** results show that our model can improve retrieval performance substantially using the search session information.

关键词： Information retrieval Implicit feedback Search session Markov random field Term dependence

来源：评论

学校读者我要写书评

暂无评论

A NOVEL INTERACTIVE IMAGE RETRIEVAL METHOD BASED ON LSH AND SVM

A NOVEL INTERACTIVE IMAGE RETRIEVAL METHOD BASED ON LSH AND ...

引用

The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Tingting Dong Zhicheng Zhao Multimedia Communication and Pattern Recognition Labs Multimedia Communication and Pattern Recognition Labs Beijing Key Laboratory of Network System and N

Content-based image retrieval (CBIR) has attracted people's attention for many years,while the semantic gap and curse of dimensionality are still two open questions of *** this paper,we propose a new interactive image retrieval method based on locality-sensitive hashing (LSH) and support vector machine (SVM):LSH is adopted to overcome the curse of dimensionality and a SVM-based relevance feedback (RF) scheme is introduced to shorten the semantic *** experimental results show the effectiveness of the proposed method.

关键词： Image retrieval LSH Relevance feedback SVM

来源：评论

学校读者我要写书评

暂无评论

Adaptive multi-feature tracking in particle swarm optimization based particle filter framework

引用

Journal of systems Engineering and Electronics 2012年第5期23卷 775-783页

作者： Miaohui Zhang Ming Xin Jie Yang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 P. R. China Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 P. R. China

This paper proposes a particle swarm optimization（PSO） based particle filter（PF） tracking framework,the embedded PSO makes particles move toward the high likelihood area to find the optimal position in the state transition stage,and simultaneously incorporates the newest observations into the proposal distribution in the update *** the proposed approach,likelihood measure functions involving multiple features are presented to enhance the performance of model ***,the multi-feature weights are self-adaptively adjusted by a PSO algorithm throughout the tracking *** are three main ***,the PSO algorithm is fused into the PF framework,which can efficiently alleviate the particles degeneracy ***,an effective convergence criterion for the PSO algorithm is explored,which can avoid particles getting stuck in local minima and maintain a greater particle ***,a multi-feature weight self-adjusting strategy is proposed,which can significantly improve the tracking robustness and *** performed on several challenging public video sequences demonstrate that the proposed tracking approach achieves a considerable performance.

关键词： particle filter particle swarm optimization adaptive weight adjustment visual tracking

来源：评论

学校读者我要写书评

暂无评论

A TWEETS RECOMMENDATION ALGORITHM BASED ON USER RELATIONSHIP AND TEXT EMOTIONAL TENDENTIOUSNESS

A TWEETS RECOMMENDATION ALGORITHM BASED ON USER RELATIONSHIP...

引用

The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Xi Wang Bo Xiao Zhiqing Lin Yueming Lu Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

Micro-blog,also known as twitter,is a platform which is based on user relationships for information sharing,spreading and *** how to share the messages in micro-blog efficiently based on the users' interest with analyzing the user information has become a key research *** to the analysis of the micro-blog user relationship and the theory of Analytic Hierarchy Process in the management science,this paper establishes a user influence model,to help explain how the target users affect the core *** the combination of Word Activation Forces Theory,we put forward an algorithm to express the emotional tendentious of each noun-word in all the *** addition,we calculate and find the corresponding tweets to recommend to the core user and the experiment in this paper proves the effectiveness of the algorithm.

关键词： User relationship WAF Emotional tendentiousness Tweets recommendation Micro-blog

来源：评论

学校读者我要写书评

暂无评论

REAL-TIME QUALITY CONTROL FOR CROWDSOURCING RELEVANCE EVALUATION

REAL-TIME QUALITY CONTROL FOR CROWDSOURCING RELEVANCE EVALUA...

引用

The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Tao Xia Chuang Zhang Jingjing Xie Tai Li Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

In recent years,crowdsourcing has become an effective method in many fields,such as relevance evaluation of search engine ***,the problems of bad workers and quality control always stand among the major challenges within the *** on our experiments carried out in TREC 2011 Crowdsourcing track,this paper demonstrates a realtime strategy in recruiting workers and monitoring the quality of their relevance and rank *** effectiveness of our strategy has been verified by empirical results.

关键词： Crowdsourcing Real-time Quality control Relevance assessment

来源：评论

学校读者我要写书评

暂无评论

Fitting a functional structural plant model based on global sensitivity analysis

Fitting a functional structural plant model based on global ...

引用

2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Lin, Yubin Kang, Mengzhen Hua, Jing National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467304283

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysis method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs. © 2012 IEEE.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Learning reference-based representation for image categorization

引用

Journal of Information and Computational Science 2012年第15期9卷 4261-4269页

作者： Li, Qun Zhang, Honggang Guo, Jun Bhanu, Bir Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China Center for Research in Intelligent Systems University of California Riverside CA 92521 United States

This paper develops a reference-based representation method for image categorization and shows that this representation has favorable performance characteristics for multi-class problems. We learn a reconstructive dictionary by associating the reference-set with training data to form a unified objective function. The optimal solution is efficiently obtained using the K-SVD algorithm. After dictionaries are generated, Locality-constrained Linear Coding (LLC) features are extracted. Then, the image feature vector is reconstructed to a histogram-like descriptor by all the image features in the reference-set with a regularization term, leading to a significant reduction of the dimensionality in the feature space. Experimental results show that the proposed method achieves or outperforms results on several benchmarks. © 2012 by Binary Information Press.

关键词： Graphic methods

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：