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ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
15 years 5 months ago
FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
Zhiwen Yu, Hau-San Wong
KES
2000
Springer
15 years 3 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
BMCBI
2006
90views more  BMCBI 2006»
14 years 12 months ago
Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data
Background: Trait heterogeneity, which exists when a trait has been defined with insufficient specificity such that it is actually two or more distinct traits, has been implicated...
Tricia A. Thornton-Wells, Jason H. Moore, Jonathan...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 5 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
ICPR
2010
IEEE
15 years 6 months ago
Pose Estimation of Known Objects by Efficient Silhouette Matching
Pose estimation is essential for automated han- dling of objects. In many computer vision applications only the object silhouettes can be acquired reliably, because untextured or s...
Christian Reinbacher, Matthias Rüther, Horst Bisc...