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» Clustering with the Connectivity Kernel
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DIS
2006
Springer
14 years 1 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
CVPR
2010
IEEE
14 years 6 months ago
Image Webs: Computing and Exploiting Connectivity in Image Collections
The widespread availability of digital cameras and ubiquitous Internet access have facilitated the creation of massive image collections. These collections can be highly interconn...
Kyle Heath
ISPA
2005
Springer
14 years 3 months ago
ER-TCP: An Efficient Fault-Tolerance Scheme for TCP Connections
Abstract. This paper proposes a novel scheme, named ER-TCP, which transparently masks the failures happened on the server nodes in a cluster from clients at TCP connection granular...
Zhiyuan Shao, Hai Jin, Bin Cheng, Wenbin Jiang
IJON
2006
123views more  IJON 2006»
13 years 9 months ago
Attractor neural networks with patchy connectivity
The neurons in the mammalian visual cortex are arranged in columnar structures, and the synaptic contacts of the pyramidal neurons in layer II/III are clustered into patches that ...
Christopher Johansson, Martin Rehn, Anders Lansner
ISBI
2008
IEEE
14 years 4 months ago
On the non-uniform complexity of brain connectivity
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...
Gloria Haro, Christophe Lenglet, Guillermo Sapiro,...