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SDM
2008
SIAM
129views Data Mining» more  SDM 2008»
15 years 3 months ago
Statistical Density Prediction in Traffic Networks
Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
149
Voted
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
15 years 11 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
139
Voted
ICTAI
2008
IEEE
15 years 8 months ago
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Qinpei Zhao, Mantao Xu, Pasi Fränti
132
Voted
SCIA
2007
Springer
149views Image Analysis» more  SCIA 2007»
15 years 8 months ago
Triangulation of Points, Lines and Conics
The problem of reconstructing 3D scene features from multiple views with known camera motion and given image correspondences is considered. This is a classical and one of the most...
Klas Josephson, Fredrik Kahl
KDD
2007
ACM
112views Data Mining» more  KDD 2007»
16 years 2 months ago
Statistical change detection for multi-dimensional data
This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistic...
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, S...