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» Quantizing Density Estimators
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ICCV
2001
IEEE
14 years 9 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
TIT
2002
99views more  TIT 2002»
13 years 7 months ago
Poisson intensity estimation for tomographic data using a wavelet shrinkage approach
We consider a two-dimensional problem of positron emission tomography where the random mechanism of the generation of the tomographic data is modeled by Poisson processes. The goa...
L. Cavalier, Ja-Yong Koo
DAC
2003
ACM
14 years 8 months ago
Performance-impact limited area fill synthesis
Chemical-mechanical planarization (CMP) and other manufacturing steps in very deep-submicron VLSI have varying effects on device and interconnect features, depending on the local ...
Yu Chen, Puneet Gupta, Andrew B. Kahng
ICML
2007
IEEE
14 years 8 months ago
A recursive method for discriminative mixture learning
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Minyoung Kim, Vladimir Pavlovic
KDD
2007
ACM
112views Data Mining» more  KDD 2007»
14 years 8 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...