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ICASSP
2011
IEEE
12 years 9 months ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos
BPM
2008
Springer
155views Business» more  BPM 2008»
13 years 8 months ago
The Refined Process Structure Tree
Abstract. We consider workflow graphs as a model for the control flow of a business process model and study the problem of workflow graph parsing, i.e., finding the structure of a ...
Jussi Vanhatalo, Hagen Völzer, Jana Koehler
JDCTA
2010
161views more  JDCTA 2010»
13 years 26 days ago
Selection of Wavelet Decomposition Level in Multi-Scale Sensor Data Fusion of MEMS Gyroscope
Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it's widely used the Wavelet-base...
Ren Ya-fei, Ke Xi-zheng
CVPR
2005
IEEE
14 years 8 months ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu
TSMC
2008
122views more  TSMC 2008»
13 years 6 months ago
A Geometric Approach to the Theory of Evidence
In this paper, we propose a geometric approach to the theory of evidence based on convex geometric interpretations of its two key notions of belief function (b.f.) and Dempster...
Fabio Cuzzolin