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ICPR
2006
IEEE
16 years 3 months ago
Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit...
Richard Yang, Yongsheng Gao
DCC
2010
IEEE
15 years 9 months ago
An MCMC Approach to Lossy Compression of Continuous Sources
Motivated by the Markov chain Monte Carlo (MCMC) relaxation method of Jalali and Weissman, we propose a lossy compression algorithm for continuous amplitude sources that relies on...
Dror Baron, Tsachy Weissman
GLOBECOM
2009
IEEE
15 years 9 months ago
A Fresh Look at Multicanonical Monte Carlo from a Telecom Perspective
—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...
Alberto Bononi, Leslie A. Rusch, Amirhossein Ghazi...
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ICASSP
2009
IEEE
15 years 9 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Tse-Wei Chen, Shao-Yi Chien
ICPR
2008
IEEE
15 years 9 months ago
Kernel Bisecting k-means clustering for SVM training sample reduction
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Xiao-Zhang Liu, Guo-Can Feng