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ICIP
2009
IEEE
13 years 8 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...
CVPR
2010
IEEE
14 years 3 months ago
Efficient Hierarchical Graph-Based Video Segmentation
We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by oversegmenting a vol...
Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan E...
ICPR
2008
IEEE
14 years 5 months ago
Video denoising via discrete regularization on graphs
We present local and nonlocal algorithms for video denoising based on discrete regularization on graphs. The main difference between video and image denoising is the temporal redu...
Mahmoud Ghoniem, Youssef Chahir, Abderrahim Elmoat...
EMMCVPR
2001
Springer
14 years 3 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 9 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu