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Displaying 1-16 out of 16 total
A Multimodal and Multistage Face Recognition Method for Simulated Portrait
Found in: Pattern Recognition, International Conference on
By Guangda Su, Yan Shang, Cheng Du, Junyan Wang
Issue Date:August 2006
pp. 1013-1017
Recognition of simulated portrait obtained through face composition technique is a challenging task in public security area. An innovative method for simulated portrait recognition is presented in this paper. This method can be used to perform recognition ...
 
Chemical Name Extraction Based on Automatic Training Data Generation and Rich Feature Set
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Su Yan,W. Scott Spangler,Ying Chen
Issue Date:September 2013
pp. 1218-1233
The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Anot...
 
A New Model on the School-Enterprise Cooperation Curriculum Construction
Found in: Software Engineering Education and Training, Conference on
By Hongyan Mao,Ningkang Jiang,Wen Su,Yan Zhang
Issue Date:April 2012
pp. 115-119
Universities are actively exploring and implementing the cooperation courses with enterprises. In software engineering, the key construction is to build a win-win course to meet the needs of student development and enterprise requirements. This paper intro...
 
SIMPLE: Interactive Analytics on Patent Data
Found in: Data Mining Workshops, International Conference on
By Scott Spangler, Ying Chen, Jeffrey Kreulen, Stephen Boyer, Thomas Griffin, Alfredo Alba, Linda Kato, Ana Lelescu, Su Yan
Issue Date:December 2010
pp. 426-433
Intellectual Properties (IP), such as patents and trademarks, are one of the most critical assets in today’s enterprises and research organizations. They represent the core innovation and differentiators of an organization. When leveraged effectively, they...
 
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Su Yan, Sofien Bouaziz, Dongwon Lee
Issue Date:September 2010
pp. 398-405
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dimensional data in an optimal low-dimensional subspace, which is learned with ...
 
A Semi-Markov Survivability Evaluation Model for Intrusion Tolerant Database Systems
Found in: Availability, Reliability and Security, International Conference on
By Alex Hai Wang, Su Yan, Peng Liu
Issue Date:February 2010
pp. 104-111
Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. However, this assumption does not hold in many real cases. To address this problem, ...
 
LeeDeo: Web-Crawled Academic Video Search Engine
Found in: Multimedia, International Symposium on
By Dongwon Lee, Hung-sik Kim, Eun Kyung Kim, Su Yan, Johnny Chen, Jeongkyu Lee
Issue Date:December 2008
pp. 497-502
We present our vision and preliminary design toward web-crawled academic video search engine, named as LeeDeo, that can search, crawl, archive, index, and browse “academic” videos from the Web. Our proposal differs from existing general-purpose search engi...
 
Text mining driven drug-drug interaction detection
Found in: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Su Yan,Xiaoqian Jiang,Ying Chen
Issue Date:December 2013
pp. 349-354
Identifying drug-drug interactions is an important and challenging problem in computational biology and healthcare research. There are accurate, structured but limited domain knowledge and noisy, unstructured but abundant textual information available for ...
   
Chemical Name Extraction Based on Automatic Training Data Generation and Rich Feature Set
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Su Yan, W. Scott Spangler, Ying Chen
Issue Date:September 2013
pp. 1218-1233
The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Anot...
     
Learning to extract chemical names based on random text generation and incomplete dictionary
Found in: Proceedings of the 11th International Workshop on Data Mining in Bioinformatics (BIOKDD '12)
By Su Yan, W. Scott Spangler, Ying Chen
Issue Date:August 2012
pp. 21-25
Automatically extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable good quality training set to train a reliable entity extraction model. Leve...
     
Towards optimal rate allocation for data aggregation in wireless sensor networks
Found in: Proceedings of the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc '11)
By Guohong Cao, Lu Su, Yan Gao, Yong Yang
Issue Date:May 2011
pp. 1-11
This paper aims at achieving optimal rate allocation for data aggregation in wireless sensor networks. We first formulate this rate allocation problem as a network utility maximization problem. Due to its non-convexity, we take a couple of variable substit...
     
Toward alternative measures for ranking venues: a case of database research community
Found in: Proceedings of the 2007 conference on Digital libraries (JCDL '07)
By Dongwon Lee, Su Yan
Issue Date:June 2007
pp. 235-244
Ranking of publication venues is often closely related with important issues such as evaluating the contributions of individual scholars/research groups, or subscription decision making. The development of large-scale digital libraries and the availability...
     
Adaptive sorted neighborhood methods for efficient record linkage
Found in: Proceedings of the 2007 conference on Digital libraries (JCDL '07)
By Dongwon Lee, Lee C. Giles, Min-Yen Kan, Su Yan
Issue Date:June 2007
pp. 185-194
Traditionally, record linkage algorithms have played an important role in maintaining digital libraries - i.e., identifying matching citations or authors for consolidation in updating or integrating digital libraries. As such, a variety of record linkage a...
     
Visual attention in 3D video games
Found in: Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology (ACE '06)
By Magy Seif El-Nasr, Su Yan
Issue Date:June 2006
pp. 22-es
Understanding players' visual attention patterns within an interactive 3D game environment is an important research area that can improve game level design and graphics. Several graphics techniques use a perception based rendering method to enhance graphic...
     
An Ontology for Aircraft Route Planning
Found in: Advances in System Simulation, International Conference on
By Juan Liu, Su-yan Tang, Qun Li, Wei-ping Wang
Issue Date:September 2009
pp. 68-72
An amount of methods used in Route Planning (RP) for Aircraft have emerged during the last few years. It is difficult to master these methods and make a fast choice to use among them, which results from the lack of domain knowledge representation and reuse...
 
The Bidding Tactics Decision-Making for BOT Projects Based on Multiple-Dimension Conjugate Grades Wavelet Network
Found in: International Conference on Natural Computation
By Yong-he Yu, Wei-min Ma, Su-yan Li
Issue Date:October 2008
pp. 368-373
After analyzing the bidding tactics decision-making index system for BOT projects, the bidding tactics decision-making method is presented by wavelet network learning algorithm based on conjugate gradient method, the decision-making model is set up. The pa...
 
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