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Displaying 1-20 out of 20 total
Skeleton-Based Surface Reconstruction for Visualizing Plant Roots
Found in: International Conference on Artificial Reality and Telexistence
By Xuhong Tian, Guoqiang Han, Maozi Chen, Zhiyuan Situ
Issue Date:December 2006
pp. 328-332
In this paper, we present a skeleton-based triangular surface reconstruction method for visualizing plant roots. The proposed method models plant roots as generalized cylinders. A generalized cylinder is constructed by sweeping a two-dimensional cross sect...
 
SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Zhiwen Yu, Le Li,J. You, Hau-San Wong, Guoqiang Han
Issue Date:November 2012
pp. 1751-1765
In order to perform successful diagnosis and treatment of cancer, discovering, and classifying cancer types correctly is essential. One of the challenging properties of class discovery from cancer data sets is that cancer gene expression profiles not only ...
 
Fast Parameter Estimation in Image Restoration Based on Hierarchical Bayesian Framework
Found in: Computational Intelligence and Security, International Conference on
By Su Xiao, Guoqiang Han, Yan Wo, Zhan Li, Xiangji Chen
Issue Date:December 2009
pp. 372-375
In this paper, an algorithm under Bayesian framework is proposed using the variational method to estimate the original image and parameters simultaneously and iteratively. The harmonic model and the gamma model are introduced as prior models for the origin...
 
Pseudo-inverse Locality Preserving Projections
Found in: Computational Intelligence and Security, International Conference on
By Rong-Hua Li, Zhiping Luo, Guoqiang Han
Issue Date:December 2009
pp. 363-367
This paper proposes a novel algorithm, named Pseudo-inverse Locality Preserving Projections (PLPP), for dimensionality reduction involving undersampled problems. This algorithm considers the matrix singularity caused by undersampled problems by substitutin...
 
High-order Variation of Active Contours and Its Application
Found in: Computational Intelligence and Natural Computing, International Conference on
By Guohua Chen, Guoqiang Han
Issue Date:June 2009
pp. 396-400
Two central questions in medical image segmentation raised by C. A. Davatyikos and J. L. Prince are: will an active contour algorithm converges to a unique solution, and if so, will this solution be near the truth? This paper had showed a way to calculate ...
 
TV-Based Texture Image Inpainting
Found in: MultiMedia and Information Technology, International Conference on
By Minqin Wang, Guoqiang Han, Yongqiu Tu, Guohua Chen, Yuefang Gao
Issue Date:December 2008
pp. 272-275
This paper proposes a novel algorithm which simultaneously inpaints structures and textures of damaged images. In past years, people copy the pixels, which come from the surrounding neighborhood or selected example, into damaged region along isophate direc...
 
Unsupervised Texture Image Segmentation Based on Gabor Wavelet and Multi-PCNN
Found in: Intelligent Information Technology Applications, 2007 Workshop on
By Minqin Wang, Guoqiang Han, Yongqiu Tu, Guohua Chen, Yuefang Gao
Issue Date:December 2008
pp. 376-381
This paper is a research on unsupervised texture segmentation technique using Gabor filters and multi-PCNN. The partitioning method based on Gabor filters gets the good segmentation result, but causes the huge data. PCNN is a parallel way and can be easily...
 
A Fingerprint Matching Algorithm Based on B-Spline Curves
Found in: Young Computer Scientists, International Conference for
By Huaqiang Yuan, Weimin Xiao, Guoqiang Han
Issue Date:November 2008
pp. 1406-1411
This paper adopts the thought of curve recognition, and a new fingerprint matching algorithm based on mathematics curve theory is presented. In this algorithm, stated data point vectors are extracted firstly at the reliable region of different ridges, then...
 
Edge-Based Image Completing Guided by Region Segmentation
Found in: Computing, Communication, Control and Management, ISECS International Colloquium on
By Minqin Wang, Guoqiang Han, Yongqiu Tu
Issue Date:August 2008
pp. 152-156
This paper proposes a novel algorithm which simultaneously inpaints structures and textures of damaged images. In past years, people copy the pixels, which come from the surrounding neighborhood or selected examplar, into damaged region along isolation dir...
 
An E-Government Platform Based on Multi-Tier Architecture
Found in: Information Technology: New Generations, Third International Conference on
By Xiaoyuan Zhang, Guoqiang Han, Bin Li, Kun Zou, Wen Li
Issue Date:April 2008
pp. 1170-1172
With the development of dynamic e-government and the network, the application system becomes more complicated. Traditional e-government system will have an inherent scalability problem as the number of applications increases continuously. To solve this pro...
 
Edge Map-Based Texture Synthesis via Graph Cuts
Found in: Convergence Information Technology, International Conference on
By Kun Zou,Guoqiang Han,Wen Li,Xiaoyuan Zhang,Guosheng Gu
Issue Date:November 2007
pp. 1177-1176
This paper presents an edge map-based texture synthesis algorithm using graph cuts to find the optimal patch boundaries. It takes the whole sample texture as a patch. In each step, an optimal patch translation with minimum match error is found, and graph c...
 
An Effective Mechanism Based on Watermark for E-government Information
Found in: Convergence Information Technology, International Conference on
By Xiaoyuan Zhang,Guoqiang Han,Kun Zou,Wen Li,Bin Li
Issue Date:November 2007
pp. 580-585
E-government information security has attracted tremendous attention recently and most research concentrates on the theory of cryptography. With the development of dynamic e-government system and the widespread use of network, the data in e-government syst...
 
Natural Image Matting Using Cellular Automata
Found in: Convergence Information Technology, International Conference on
By Wen Li,Guoqiang Han,Kun Zou,Guosheng Gu,Xiaoyuan Zhang
Issue Date:November 2007
pp. 1746-1751
This paper presents an interactive algorithm for natural image matting. Given a few user-marked foreground and background strokes, the unmarked region of the input image is modeled as a Markov Random Field (MRF) and its energy function is formulated as the...
 
An Enhanced Chaos Based Image Encryption Algorithm
Found in: Innovative Computing ,Information and Control, International Conference on
By Guosheng Gu, Guoqiang Han
Issue Date:September 2006
pp. 492-495
Chaos has been given much consideration as a feasible image encryption technique in current research. Nevertheless, some chaotic sequences can be reconstructed precisely owing to the finite computational precision. The focus of the work presented in this p...
 
A Novel Algorithm for Associative Classification of Image Blocks
Found in: Computer and Information Technology, International Conference on
By Xiaoyuan Xu, Guoqiang Han, Huaqing Min
Issue Date:September 2004
pp. 46-51
Because of its accurate and robust performance, association rule-based approach is recently used for image classification. However, the existing algorithms for associative classification suffer from inefficiency. Addressing this problem, a novel algorithm ...
 
Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Zhiwen Yu,Hantao Chen,Jane You,Jiming Liu,Hau-San Wong,Guoqiang Han,Le Li
Issue Date:February 2015
pp. 1
Performing clustering analysis is one of the important research topics in cancer discovery using gene expression profiles, which is crucial in facilitating the successful diagnosis and treatment of cancer. While there are quite a number of research works w...
 
Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Zhiwen Yu,Hongsheng Chen,Jane You,Hau-San Wong,Jiming Liu,Le Li,Guoqiang Han
Issue Date:July 2014
pp. 1-1
Tumor clustering is one of the important techniques for tumor discovery from cancer gene expression profiles, which is useful for the diagnosis and treatment of cancer. While different algorithms have been proposed for tumor clustering, few make use of the...
 
Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Bio-molecular Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Zhiwen Yu,Hantao Chen,Jane You,Guoqiang Han,Le Li
Issue Date:May 2013
pp. 1
In order to further improve the performance of tumor clustering from bio-molecular data, we introduce the fuzzy theory into the cluster ensemble framework for tumor clustering from bio-molecular data, and propose four kinds of hybrid fuzzy cluster ensemble...
 
Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Biomolecular Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Guoqiang Han, Hantao Chen, Zhiwen Yu, Jane You, Le Li
Issue Date:May 2013
pp. 657-670
Cancer class discovery using biomolecular data is one of the most important tasks for cancer diagnosis and treatment. Tumor clustering from gene expression data provides a new way to perform cancer class discovery. Most of the existing research works adopt...
     
SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Guoqiang Han, Hau-San Wong, Jane You, Le Li, Zhiwen Yu
Issue Date:November 2012
pp. 1751-1765
In order to perform successful diagnosis and treatment of cancer, discovering, and classifying cancer types correctly is essential. One of the challenging properties of class discovery from cancer data sets is that cancer gene expression profiles not only ...
     
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