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ICIP
2009
IEEE
13 years 5 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...
EDBT
2012
ACM
228views Database» more  EDBT 2012»
11 years 9 months ago
Finding maximal k-edge-connected subgraphs from a large graph
In this paper, we study how to find maximal k-edge-connected subgraphs from a large graph. k-edge-connected subgraphs can be used to capture closely related vertices, and findin...
Rui Zhou, Chengfei Liu, Jeffrey Xu Yu, Weifa Liang...
MICCAI
2010
Springer
13 years 5 months ago
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
We present a novel approach for extracting cluttered objects based on their morphological properties1 . Specifically, we address the problem of untangling C. elegans clusters in h...
Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery...
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 8 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
ICASSP
2011
IEEE
12 years 11 months ago
Polytope kernel density estimates on Delaunay graphs
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
Erhan Bas, Deniz Erdogmus