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ICPR
2002
IEEE
15 years 11 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...
PR
2007
293views more  PR 2007»
15 years 5 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
CVPR
2005
IEEE
16 years 8 months ago
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
Kai Zhang, Ming Tang, James T. Kwok
ECCV
2006
Springer
16 years 8 months ago
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
Amnon Shashua, Ron Zass, Tamir Hazan
CVPR
2009
IEEE
16 years 1 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin