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317 results on '"Yue, Lihua"'

51. Evaluating Human Motion Complexity Based on Un-Correlation and Non-smoothness

Author

Yang, Yang, Leung, Howard, Yue, Lihua, Deng, Liqun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Qiu, Guoping, editor, Lam, Kin Man, editor, Kiya, Hitoshi, editor, Xue, Xiang-Yang, editor, Kuo, C.-C. Jay, editor, and Lew, Michael S., editor

Published
2010
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52. A Color Saliency Model for Salient Objects Detection in Natural Scenes

Author

Tian, Minghui, Wan, Shouhong, Yue, Lihua, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Boll, Susanne, editor, Tian, Qi, editor, Zhang, Lei, editor, Zhang, Zili, editor, and Chen, Yi-Ping Phoebe, editor

Published
2010
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55. Generating a Two-Phase Lesson for Guiding Beginners to Learn Basic Dance Movements

Author

Yang, Yang, Leung, Howard, and Yue, Lihua

Abstract

In this paper, an automated lesson generation system for guiding beginners to learn basic dance movements is proposed. It analyzes the dance to generate a two-phase lesson which can provide a suitable cognitive load thus offering an efficient learning experience. In the first phase, the dance is divided into small pieces which are patterns, and then those patterns are arranged to form an easy-to-complex learning path according to the prerequisite relations. The courseware of the second phase is responsible for guiding students to assemble all the patterns into the full dance. The learning process of the second phase adapts to the student's background knowledge and preference. It keeps monitoring the students' performances during the learning process, and adaptively adding new patterns for the students to learn. A user study which involved 52 college students who had never been trained to dance before was conducted and the results are optimistic implying that the two-phase lesson is a practical way for people to learn dance. (Contains 10 tables and 21 figures.)

Published
2013
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60. Computing Geographical Serving Area Based on Search Logs and Website Categorization

Author

Zhang, Qi, Xie, Xing, Wang, Lee, Yue, Lihua, Ma, Wei-Ying, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wagner, Roland, editor, Revell, Norman, editor, and Pernul, Günther, editor

Published
2007
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61. Bilateration: An Attack-Resistant Localization Algorithm of Wireless Sensor Network

Author

Li, Xin, Hua, Bei, Shang, Yi, Guo, Yan, Yue, LiHua, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kuo, Tei-Wei, editor, Sha, Edwin, editor, Guo, Minyi, editor, Yang, Laurence T., editor, and Shao, Zili, editor

Published
2007
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63. Automatic Dance Lesson Generation

Author

Yang, Yang, Leung, H., Yue, Lihua, and Deng, LiQun

Abstract

In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation system automatically generates the lesson plan for students. It first extracts patterns from the input dance sequence to form the learning objects. The prerequisite structure is then built by considering the relations between the learning objects. Afterward the knowledge structure is constructed from the prerequisite structure based on the knowledge space theory. Finally, the learning path is derived according to an easy-to-complex manner while respecting the prerequisite relations. A user study that involved 40 students was conducted to evaluate the proposed work. The average learning time required for the treatment group (learning with the proposed system) was found to be lower than that of the control group (learning by free browsing) thus demonstrating the learning efficiency of the proposed system. The feedback from the questionnaires indicated that a majority of the subjects showed positive response toward the usefulness and rationality of our proposed system. (Contains 12 figures and 1 table.)

Published
2012
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83. Multiple Myeloma in Hispanics: Incidence, Characteristics, Survival, Results of Discovery, and Validation Using Real-World and Connect MM Registry Data

Author

Kaur, Gurbakhash, primary, Mejia Saldarriaga, Mateo, additional, Shah, Nishi, additional, Catamero, Donna D., additional, Yue, Lihua, additional, Ashai, Nadia, additional, Goradia, Niyati, additional, Heisler, Joshua, additional, Xiao, Zhengrui, additional, Ghalib, Natasha, additional, Aaron, Tonya, additional, Cole, Daniel, additional, Foreman, Rebecca, additional, Mantzaris, Ioannis, additional, Derman, Olga, additional, Bachier, Lizamarie, additional, Sica, R. Alejandro, additional, Kornblum, Noah, additional, Braunschweig, Ira, additional, Shastri, Aditi, additional, Goel, Sanjay, additional, Verma, Amit, additional, and Janakiram, Murali, additional

Published
2021
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89. Semantics Modeling for Spatiotemporal Databases

Author

Jin, Peiquan, Yue, Lihua, Gong, Yuchang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Atzeni, Paolo, editor, Chu, Wesley, editor, Lu, Hongjun, editor, Zhou, Shuigeng, editor, and Ling, Tok-Wang, editor

Published
2004
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