Search Results - "Ge, Hancheng"

DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark by Hancheng Ge, Kai Zhang, Alfifi, Majid, Xia Hu, Caverlee, James

“…How can we efficiently recover missing values for very large-scale real-world datasets that are multi-dimensional even when the auxiliary information is…”
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Characterizing and automatically detecting crowdturfing in Fiverr and Twitter by Lee, Kyumin, Webb, Steve, Ge, Hancheng

“…As human computation on crowdsourcing systems has become popular and powerful for performing tasks, malicious users have started misusing these systems by…”
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Freeway Travel Time Prediction Using Takagi-Sugeno-Kang Fuzzy Neural Network by Zhang, Yunlong, Ge, Hancheng

“…This article presents a Takagi–Sugeno–Kang Fuzzy Neural Network (TSKFNN) approach to predict freeway corridor travel time with an online computing algorithm…”
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Low-rank decomposition meets kernel learning: A generalized Nyström method by Lan, Liang, Zhang, Kai, Ge, Hancheng, Cheng, Wei, Liu, Jun, Rauber, Andreas, Li, Xiao-Li, Wang, Jun, Zha, Hongyuan

“…Low-rank matrix decomposition and kernel learning are two useful techniques in building advanced learning systems. Low-rank decomposition can greatly reduce…”
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Freeway Travel Time Prediction Using Takagi—Sugeno—Kang Fuzzy Neural Network: Recent research in traffic modeling and data management by YUNLONG ZHANG, HANCHENG GE

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Assessment of Presence Conditions of Pavement Markings with Image Processing: Maintenance Services and Surface Weather 2012 by YUNLONG ZHANG, HANCHENG GE

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Assessment of Presence Conditions of Pavement Markings with Image Processing by Zhang, Yunlong, Ge, Hancheng

“…This paper presents a systematic approach that can automatically determine the presence conditions of pavement markings from marking images developed with…”
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Assessment of Background Complexity of Overhead Guide Signs: Image Processing of Digital Images of Nighttime Roadway Scenes: Traffic Control Devices, Visibility, and Higway-Rail Grade Crossings 2013 by HANCHENG GE, YUNLONG ZHANG, MILES, Jeffrey D, CARLSON, Paul J

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Assessment of Background Complexity of Overhead Guide Signs: Image Processing of Digital Images of Nighttime Roadway Scenes by Ge, Hancheng, Zhang, Yunlong, Miles, Jeffrey D., Carlson, Paul J.

“…Researchers have developed a systematic method of using image-processing techniques to assess the complexity of the background of overhead guide and street…”
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Comparison of Designs of Field Test Decks for Pavement Marking Materials: Maintenance Services and Surface Weather 2011 by YUNLONG ZHANG, PIKE, Adam M, HANCHENG GE, CARLSON, Paul J

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Comparison of Designs of Field Test Decks for Pavement Marking Materials by Zhang, Yunlong, Pike, Adam M., Ge, Hancheng, Carlson, Paul J.

“…Historically, pavement marking materials (PMMs) have been prequalified or selected mainly on the basis of product specifications and lab testing, which do not…”
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Cross-Lingual Approaches to Reference Resolution in Dialogue Systems by Sharaf, Amr, Gupta, Arpit, Ge, Hancheng, Naik, Chetan, Mathias, Lambert

“…In the slot-filling paradigm, where a user can refer back to slots in the context during the conversation, the goal of the contextual understanding system is…”
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Tensor Completion Algorithms in Big Data Analytics by Song, Qingquan, Ge, Hancheng, Caverlee, James, Hu, Xia

“…Tensor completion is a problem of filling the missing or unobserved entries of partially observed tensors. Due to the multidimensional character of tensors in…”
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Contextual Slot Carryover for Disparate Schemas by Naik, Chetan, Gupta, Arpit, Ge, Hancheng, Mathias, Lambert, Sarikaya, Ruhi

“…In the slot-filling paradigm, where a user can refer back to slots in the context during a conversation, the goal of the contextual understanding system is to…”
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The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing by Lee, Kyumin, Webb, Steve, Ge, Hancheng

“…As human computation on crowdsourcing systems has become popular and powerful for performing tasks, malicious users have started misusing these systems by…”
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