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CVPR
2012
IEEE
12 years 1 days ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
CVPR
2005
IEEE
14 years 11 months ago
Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
Frank Dellaert, Vivek Kwatra, Sang Min Oh
DAGM
1998
Springer
14 years 1 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
VLSISP
1998
191views more  VLSISP 1998»
13 years 9 months ago
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model
In this paper, we present preliminary results comparing the nature of the errors introduced by the mixture of principal components (MPC) model with a wavelet transform and the Karh...
Nanda Kambhatla, Simon Haykin, Robert D. Dony
VISUALIZATION
2005
IEEE
14 years 3 months ago
View-Dependent Rendering of Multiresolution Texture-Atlases
Real-time rendering of massively textured 3D scenes usually involves two major problems: Large numbers of texture switches are a well-known performance bottleneck and the set of s...
Henrik Buchholz, Jürgen Döllner