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» Fast Resampling Using Vector Quantization
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PRL
2010
188views more  PRL 2010»
13 years 2 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
IJCNN
2006
IEEE
14 years 1 months ago
Improved Snake Model for Fast Image Segmentation
—This paper presents an Improved Snake Model (ISM) effective for performing fast image segmentation. The work takes advantage of two well-known snake models of Balloon [1] and GG...
Chi-Cheng Ting, Jhan-Syuan Yu, Jiun-Shuen Tzeng, J...
ACCV
2006
Springer
14 years 1 months ago
Fast Image Replacement Using Multi-resolution Approach
We developed a system including two modules: the texture analysis module and the texture synthesis module. The analysis module is capable of analyzing an input image and performing...
Chih-Wei Fang, James Jenn-Jier Lien
IJON
2006
95views more  IJON 2006»
13 years 7 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
TASLP
2011
13 years 2 months ago
Source-Filter-Based Single-Channel Speech Separation Using Pitch Information
—In this paper, we investigate the source–filter-based approach for single-channel speech separation. We incorporate source-driven aspects by multi-pitch estimation in the mod...
Michael Stark, Michael Wohlmayr, Franz Pernkopf