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» Approximate Expectation Maximization
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ISBI
2004
IEEE
15 years 12 months ago
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework
High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structure...
Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix,...
PSB
2004
15 years 15 days ago
Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
Alan M. Moses, Derek Y. Chiang, Michael B. Eisen
VTC
2010
IEEE
158views Communications» more  VTC 2010»
14 years 9 months ago
Joint Channel Impulse Response and Noise-Variance Estimation for OFDM/SDMA Systems Based on Expectation Maximization
Abstract—A joint channel impulse response (CIR) and noisevariance estimation scheme is proposed for multi-user MultipleInput-Multiple-Output (MIMO) Orthogonal Frequency-Division ...
Jiankang Zhang, Xiaomin Mu, Lajos Hanzo
ICPR
2010
IEEE
14 years 9 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...
PAMI
2008
161views more  PAMI 2008»
14 years 11 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...