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Displaying 1-20 out of 20 total
Effectiveness of Applying Codon Usage Bias for Translational Initiation Sites Prediction
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Jia Zeng, Reda Alhajj, Douglas Demetrick
Issue Date:November 2008
pp. 121-126
The accurate recognition of translational initiation sites (TISs) in genomic, cDNA and mRNA sequences is crucial to identifying the primary structure of the functional gene products --- proteins. Many computational methods have been proposed in the literat...
 
Multi-agent System for Translation Initiation Site Prediction
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Jia Zeng, Reda Alhajj
Issue Date:November 2007
pp. 103-110
Accurate translation initiation site (TIS) prediction is very important for genomic analysis. It is a com- mon understanding that analyzing the large amount of genomic data by pure biological methods is impracti- cal if not impossible. Therefore many appro...
 
Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines
Found in: Advanced Information Networking and Applications Workshops, International Conference on
By Jia Zeng, Reda Alhajj
Issue Date:May 2007
pp. 335-340
In this paper, we present a multi-perspective representation (MPR) method, which takes advantage of the synergy of multiple representations of an information object. We have provided a detailed description of how to integrate the MPR scheme with support ve...
 
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Hong Yan, Jia Zeng, Jia Zeng, Xiao-Qin Cao, Xiao-Qin Cao, Xiao-Yu Zhao, Xiao-Yu Zhao
Issue Date:July 2010
pp. 550-562
This paper integrates the signal, context, and structure features for genome-wide human promoter recognition, which is important in improving genome annotation and analyzing transcriptional regulation without experimental supports of ESTs, cDNAs, or mRNAs....
     
A New March Test for Process-Variation Induced Delay Faults in SRAMs
Found in: 2013 22nd Asian Test Symposium (ATS)
By Da Cheng,Hsunwei Hsiung,Bin Liu,Jianing Chen,Jia Zeng,Ramesh Govindan,Sandeep K. Gupta
Issue Date:November 2013
pp. 115-122
Process variations are growing with technology scaling towards nano-scale. This brings new challenges to the design of memory modules, which are often the first circuits to be fabricated using a new technology and usually designed with critical timing. We ...
 
Learning Topic Models by Belief Propagation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jia Zeng,W. K. Cheung, Jiming Liu
Issue Date:May 2013
pp. 1121-1134
Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interest and touches on many important applications in text mining, computer vision and computational biology. This pap...
 
Human Body Parts Tracking Using Sequential Markov Random Fields
Found in: Pattern Recognition, International Conference on
By Xiao-Qin Cao, Jia Zeng, Zhi-Qiang Liu
Issue Date:August 2010
pp. 1759-1762
Automatically tracking human body parts is a difficult problem because of background clutters, missing body parts, and the high degrees of freedoms and complex kinematics of the articulated human body. This paper presents the sequential Markov random field...
 
Coauthor Network Topic Models with Application to Expert Finding
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
Issue Date:September 2010
pp. 366-373
This paper presents the coauthor network topic (CNT) model constructed based on Markov random fields (MRFs) with higher-order cliques. Regularized by the complex coauthor network structures, the CNT can simultaneously learn topic distributions as well as e...
 
Multirelational Topic Models
Found in: Data Mining, IEEE International Conference on
By Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
Issue Date:December 2009
pp. 1070-1075
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation network, the MRTM models the citation link between each pair of documents as a bin...
 
A Study of Reinforcement Learning in a New Multiagent Domain
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Hua-Qing Min, Jia-An Zeng, Jian Chen, Jin-Hui Zhu
Issue Date:December 2008
pp. 154-161
RoboCup Keepaway is one of the most challenging multiagent systems (MAS) where a team of keepers tries to keep the ball away from the team of takers. Most of current works concentrate on the learning of keeper, not the learning of taker, which is also a gr...
 
Game Theoretic Distributed Energy Control in Sensor Networks
Found in: Computer and Information Technology, International Conference on
By Jia Zeng, Chundi Mu, Min Jiang
Issue Date:October 2007
pp. 1015-1019
Standard wireless sensor networks models emphasize energy efficiency and distributed decision- making by considering unattended sensors. Wireless sensor networks are confronted with the challenges of performance and energy consumption. To prolong the lifet...
 
Markov Random Field-Based Statistical Character Structure Modeling for Handwritten Chinese Character Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jia Zeng, Zhi-Qiang Liu
Issue Date:May 2008
pp. 767-780
This paper proposes a statistical-structural character modeling method based on Markov random fields (MRFs) for handwritten Chinese character recognition (HCCR). The stroke relationships of a Chinese character reflect its structure, which can be statistica...
 
Type-2 Fuzzy Markov Random Fields to Handwritten Character Recognition
Found in: Pattern Recognition, International Conference on
By Jia Zeng, Zhi-Qiang Liu
Issue Date:August 2006
pp. 1162-65
This paper integratesMarkov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the randomness of observations within the unified framework. Because fuzzy and random ...
 
Stroke Segmentation of Chinese Characters Using Markov Random Fields
Found in: Pattern Recognition, International Conference on
By Jia Zeng, Zhi-Qiang Liu
Issue Date:August 2006
pp. 868-871
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentation difficult to extract continuous strokes and handle the ambiguous intersecti...
 
Markov Random Fields for Handwritten Chinese Character Recognition
Found in: Document Analysis and Recognition, International Conference on
By Jia Zeng, Zhi-Qiang Liu
Issue Date:September 2005
pp. 101-105
In this paper, we propose a statistical-structural scheme for Chinese character modeling based on Markov random fields (MRFs). We use 2-D Gabor filters to extract directional stroke segments from images of Chinese characters, where each stroke segment is a...
 
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
Found in: Pattern Recognition, International Conference on
By Jia Zeng, Zhi-Qiang Liu
Issue Date:August 2004
pp. 192-195
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and fuzziness within the framework of type-2 fuzzy sets (FSs) and fuzzy logic syst...
 
Using evolutionary couplings to optimize dimer prediction with Rosetta SymDock
Found in: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Yiqing Huang,Qiang Lu,Jia Zeng
Issue Date:December 2013
pp. 65-68
We present an algorithm EcSymDock which optimized SymDock using Evolution couplings for better performance. SymDock is a protocol of Rosetta used to predict protein oligomer structure. Evolution Coupling (EC) is an optimized mutual information calculated b...
   
Static elaboration of recursion for concurrent software
Found in: Proceedings of the 2008 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation (PEPM '08)
By Jia Zeng
Issue Date:January 2008
pp. 3-12
Unlike sequential software, concurrent software needs a structuring mechanism capable of specifying constructs such as pipelines, scatter-gather, and other networks. Concurrent software languages usually provide mechanisms for dynamically creating such str...
     
Energy efficient distributed connected dominating sets construction in wireless sensor networks
Found in: Proceeding of the 2006 international conference on Communications and mobile computing (IWCMC '06)
By He Yanxiang, Xiaohua Jia, Zeng Yuanyuan
Issue Date:July 2006
pp. 797-802
One important characteristic of wireless sensor networks is energy stringency. Constructing a connected dominating set (CDS) has been widely used as a topology control strategy to reduce the network communication overhead. In the paper, a novel energy effi...
     
A Method Using Genetic Algorithm to Optimize Neural Networks Applied in Sustainable Development Ability Appraisal
Found in: Electronic Computer Technology, International Conference on
By Meng-jia Zeng, Zhao-lin Cheng
Issue Date:February 2009
pp. 519-523
This paper presents a method using genetic algorithms to optimize neural networks. It handled the problem of neural network early-maturing. Then it established an appraisal model of sustainable development ability and it's indicator system, using the metho...
 
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