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» Visual servoing based on Gaussian mixture models
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ICIP
2007
IEEE
16 years 1 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
EMMCVPR
1999
Springer
15 years 4 months ago
On Fitting Mixture Models
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
Mário A. T. Figueiredo, José M. N. L...
VTC
2007
IEEE
15 years 6 months ago
Ultra-Wideband Signal Acquisition in Non-Gaussian Noise via Successive Sampling
Abstract— Ultra-wideband (UWB) communications is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for...
Ersen Ekrem, Mutlu Koca, Hakan Deliç
ICCV
2009
IEEE
16 years 4 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
NIPS
2004
15 years 1 months ago
Assignment of Multiplicative Mixtures in Natural Images
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
Odelia Schwartz, Terrence J. Sejnowski, Peter Daya...