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340
Voted
ISNN
2011
Springer
14 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ISMM
2011
Springer
14 years 10 months ago
Surface Reconstruction Using Power Watershed
Abstract. Surface reconstruction from a set of noisy point measurements has been a well studied problem for several decades. Recently, variational and discrete optimization approac...
Camille Couprie, Xavier Bresson, Laurent Najman, H...
239
Voted
ISMM
2011
Springer
14 years 10 months ago
Towards a Parallel Topological Watershed: First Results
Abstract. In this paper we present a parallel algorithm for the topological watershed, suitable for a shared memory parallel architecture. On a 24-core machine an average speed-up ...
Joël van Neerbos, Laurent Najman, Michael H. ...
ISMM
2011
Springer
14 years 10 months ago
Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts
We study hierarchical segmentations that are optimal in the sense of minimal spanning forests of the original image. We introduce a region-merging operation called uprooting, and w...
Jean Cousty, Laurent Najman
ISMIS
2011
Springer
14 years 10 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski