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» Density Estimation: Nonparametric Techniques
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ECAI
2010
Springer
13 years 10 months ago
Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation
Antonino Freno, Edmondo Trentin, Marco Gori
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 6 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

Publication
252views
14 years 5 days ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis
ICIP
2002
IEEE
14 years 10 months ago
Image segmentation using clustering with saddle point detection
We discuss a novel statistical framework for image segmentation based on nonparametric clustering. By employing the mean shift procedure for analysis, image regions are identified...
Dorin Comaniciu
IJCAI
2003
13 years 10 months ago
Distributed Clustering Based on Sampling Local Density Estimates
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
Matthias Klusch, Stefano Lodi, Gianluca Moro