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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 2 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 8 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
ICIP
2005
IEEE
14 years 11 months ago
A modified FCM with optimal Peano scans for image segmentation
This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature ...
Adel Hafiane, Bertrand Zavidovique, Subhasis Chaud...
ICPR
2006
IEEE
14 years 10 months ago
Initialization Techniques for Segmentation with the Chan-Vese Model
This paper introduces an effective initialization approach for segmentation using the Chan-Vese model. The initial curve is found by searching among the extremals of the fidelity ...
Jan Erik Solem, Niels Chr. Overgaard, Anders Heyde...
ICML
2008
IEEE
14 years 10 months ago
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
Frédéric Ratle, Jason Weston, Ronan ...