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» Analysis of Random Noise and Random Walk Algorithms
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FCT
2005
Springer
14 years 1 months ago
Reconstructing Many Partitions Using Spectral Techniques
A partitioning of a set of n items is a grouping of these items into k disjoint, equally sized classes. Any partition can be modeled as a graph. The items become the vertices of th...
Joachim Giesen, Dieter Mitsche
ICA
2007
Springer
13 years 10 months ago
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
Ales Holobar, Damjan Zazula
GRAPHICSINTERFACE
2001
13 years 9 months ago
Watermarking 3D Polygonal Meshes in the Mesh Spectral Domain
Digital watermarking embeds a structure called watermark into the target data, such as image and 3D polygonal models. The watermark can be used, for example, to enforce copyright ...
Ryutarou Ohbuchi, Shigeo Takahashi, Takahiko Miyaz...
DICTA
2003
13 years 9 months ago
A Robust Method for Estimating the Fundamental Matrix
In this paper, we propose a robust method to estimate the fundamental matrix in the presence of outliers. The new method uses random minimum subsets as a search engine to find inli...
C. L. Feng, Y. S. Hung
DKE
2006
67views more  DKE 2006»
13 years 8 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...