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ICPR
2002
IEEE
15 years 5 months ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
107
Voted
NIPS
2008
15 years 2 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
95
Voted
UAI
2003
15 years 2 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
104
Voted
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Sparse Subspace Clustering
We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our ...
Ehsan Elhamifar, René Vidal
100
Voted
ISBI
2008
IEEE
16 years 1 months ago
An information-based clustering approach for fMRI activation detection
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
Lijun Bai, Wei Qin, Jimin Liang, Jie Tian