期刊：
WIT Transactions on Information and Communication Technologies,2014年51:363-370 ISSN：1743-3517
作者机构：
[Changri Luo] National Engineering Research Center for e-Learning, Central China Normal University, Wuhan, China;[Xinhua Zhang] College of Computer Science, Wuhan Vocational College of Software and Engineering, Wuhan, China;[Tingting He] Network Media Branch, National Language Resources Monitoring and Research Center, Wuhan, China;[Tingting He] Academy of Computer Science, Central China Normal University, Wuhan, China;[Changri Luo] College of Vocational and Continuing Education, Central China Normal University, Wuhan, China
会议名称：
2013 International Conference on Communication Technology (ICCT 2013)
会议时间：
2013-11-15
会议地点：
Singapore
关键词：
Network learner;Post;Topic model
摘要：
What the network learners have said in network learning forum posts directly reflects the needs of the learners during the network learning. By mining topics from forum posts, the network learning sup
期刊：
ACM International Conference Proceeding Series,2014年:177-180
作者机构：
[Ding, Wan; Yu, Xinguo] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China;[Ye, Nan] School of Computing, National University of Singapore, Singapore
会议名称：
6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014
会议时间：
July 10, 2014 - July 12, 2014
会议地点：
Xiamen, China
关键词：
Character recognition;Event detection;Multimedia
摘要：
Goal events are important in automatic analysis of broadcast sports game videos, but previous approaches rely on visual or audio information which are hard to obtain. In this paper, we use superimposed texts to detect goals (both the occurrences of goal events and their types) for broadcast basketball video, and we propose a transition pattern based approach for both text extraction and goal detection. Our approach is lightweight and effectively handles main challenges in extracting superimposed texts: complex background, low-resolution and blur of the texts, which made standard localization and character recognition algorithms inaccurate. We focus on extracting superimposed game clock and game score texts in broadcast basketball video. We exploit transition patterns to develop a Hough transform for localization, and conditional random fields (CRFs) for both score digit recognition and goal detection. The experiments show that our transition pattern based approach leads to high accuracy for both superimposed text extraction and goal detection. Categories and Subject Descriptors I.2.10 [Artificial Intelligence]: Vision and Scene Understandings -Video Analysis. General Terms Algorithms. Copyright 2014 ACM.
关键词：
Energy landscape paving method;Global optimization;BLN off-lattice model;Gradient descent method
摘要：
The optimization problem for finding the global minimum energy structure is one of the main problems of protein structure prediction and is known to be an NP-hard problem in computational molecular biology. The low-energy conformational search problem in the hydrophobic-hydrophilic-neutral (BLN) off-lattice model is studied. We convert the problem into an unconstrained optimization problem by introducing the penalty function. By putting forward a new updating mechanism of the histogram function in the energy landscape paving (ELP) method and incorporating heuristic conformation update strategies into the ELP method, we obtain an improved ELP (IELP) method. Subsequently, by combining the IELP method with the local search (LS) based on the gradient descent method, we propose a hybrid algorithm, denoted by IELP-LS, for the conformational search of the off-lattice BLN model. Simulation results indicate that IELP-LS can find lower-energy states than other methods in the literature, showing that the proposed method is an effective tool for global optimization in the BLN off-lattice protein model.
期刊：
International Conference on Image Processing. Proceedings,2014年:234-238 ISSN：1522-4880
通讯作者：
Liu, Yuanyuan
作者机构：
[Shan, Cunjie; Liu, Yuanyuan; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.;[Liu, Yuanyuan] Wenhua Coll, Wuhan, Peoples R China.
通讯机构：
[Liu, Yuanyuan] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
会议名称：
IEEE International Conference on Image Processing (ICIP)
会议时间：
OCT 27-30, 2014
会议地点：
Paris, FRANCE
会议主办单位：
[Liu, Yuanyuan;Chen, Jingying;Shan, Cunjie] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.^[Liu, Yuanyuan] Wenhua Coll, Wuhan, Peoples R China.
会议论文集名称：
IEEE International Conference on Image Processing ICIP
摘要：
A cascaded approach for facial feature detection in unconstrained environment, e.g., various poses and illuminations, occlusion, low image resolution, different facial expressions and make-up, is proposed in this paper. First the positive facial area is extracted to eliminate the influence of noise under various conditions. Then a Dirichlet-tree distribution enhanced random forests (D-RF) algorithm is proposed to detect facial features using cascaded head pose models in local sub-regions. Meanwhile, multiple probability models are learned and stored in leaves of the D-RF, i.e., a positive/negative patch probability, a head pose probability, the locations of facial features and facial deformation models (FDM). Finally, the composite weighted voting that fuses classification and regression methods is used to decide the locations of facial features. Experiments with the public databases demonstrate the robustness and accuracy of the proposed approach.
作者机构：
College of Electronics and Information Engineering, Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan;Hubei;430074, China;National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan;430079, China
通讯机构：
[Hu, Y.] C;College of Electronics and Information Engineering, Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, Hubei, China
作者机构：
[葛强] Institute of Data and Knowledge Engineering, Henan University, Kaifeng , Henan , China;[陈矛; 葛强; 张景中; 彭翕成] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan , China
通讯机构：
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
期刊：
Lecture Notes in Computer Science,2014年8801:223-233 ISSN：0302-9743
通讯作者：
Li, Bo
作者机构：
[He, Tingting; Li, Bo; Chen, Qianjun; Zhu, Qunyan] Cent China Normal Univ, Hubei Univ, Sch Comp,Ctr Natl Language Tracing & Res Network, Natl Engn Res Ctr E Learning,Network Ctr, Wuhan 430079, Peoples R China.
通讯机构：
[Li, Bo] C;Cent China Normal Univ, Hubei Univ, Sch Comp,Ctr Natl Language Tracing & Res Network, Natl Engn Res Ctr E Learning,Network Ctr, Wuhan 430079, Peoples R China.
会议名称：
13th China National Conference on Chinese Computational Linguistics (CCL) / 2nd International Symposium on Natural Language Processing Based on Naturally Annotated Big Data (NLP-NABD)
会议时间：
OCT 18-19, 2014
会议地点：
Cent China Normal Univ, Wuhan, PEOPLES R CHINA
期刊：
2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2014年:11-16 ISSN：2156-1125
通讯作者：
Wang, Yan
作者机构：
[Wang, Yan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[He, Tingting; Shen, Xianjun; Hu, Xiaohua; Yuan, Jie] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.;[Jiang, Xingpeng; Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构：
[Wang, Yan] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
会议名称：
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)
会议时间：
NOV 02-22, 2014
会议地点：
Univ Ulster, Belfast, NORTH IRELAND
会议主办单位：
Univ Ulster
会议论文集名称：
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
关键词：
Microbiome;Time series analysis;Vector autoregression model;Microbial interactions;Grouping effect
期刊：
Mathematical Problems in Engineering,2014年2014 ISSN：1024-123X
通讯作者：
Wang, Yan
作者机构：
[Wang, Yan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Mao, Mingzhi] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China.;[He, Tingting; Hu, Xiaohua] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.;[Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构：
[Wang, Yan] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
