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» Density Estimation Using Mixtures of Mixtures of Gaussians
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CDC
2008
IEEE
16 years 20 days ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
TCOM
2011
155views more  TCOM 2011»
15 years 1 months ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn
TR
2008
164views more  TR 2008»
15 years 6 months ago
Inference Based on Type-II Hybrid Censored Data From a Weibull Distribution
A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. This article presents the statistical inferences on Weibull parameters when the data are Type-II hyb...
Aveek Banerjee, Debasis Kundu
CVPR
2005
IEEE
16 years 8 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
ICCV
2007
IEEE
16 years 8 months ago
Robust Image Registration using Mixtures of t-distributions
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images presenting gross dissimilarities due to noise, missing data...
Demetrios Gerogiannis, Christophoros Nikou, Aristi...