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ICML
2008
IEEE
16 years 3 months ago
Fast Gaussian process methods for point process intensity estimation
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
John P. Cunningham, Krishna V. Shenoy, Maneesh Sah...
ISBI
2006
IEEE
16 years 3 months ago
Coronary tree extraction from X-ray angiograms using marked point processes
In this paper, we use marked point processes to perform an unsupervised extraction of the coronary tree from 2D X-ray angiography. These processes provide a rigorous framework bas...
Caroline Lacoste, Gérard Finet, Isabelle E....
STOC
2001
ACM
116views Algorithms» more  STOC 2001»
16 years 3 months ago
One line and n points
: We analyze a randomized pivoting process involving one line and n points in the plane. The process models the behavior of the RANDOM-EDGE simplex algorithm on simple polytopes wi...
Bernd Gärtner, József Solymosi, Falk T...
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
16 years 8 days 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
PAM
2009
Springer
15 years 10 months ago
Access Point Localization Using Local Signal Strength Gradient
Abstract. Many previous studies have examined the placement of access points (APs) to improve the community’s understanding of the deployment and behavioral characteristics of wi...
Dongsu Han, David G. Andersen, Michael Kaminsky, K...