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» An Alternative Model for Mixtures of Experts
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85
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ICC
2007
IEEE
15 years 8 months ago
A Low-Complexity Impulse Radio Receiver based upon Gaussian Mixtures
Abstract— Ultra wide band (UWB) impulse radio (IR) technology calls for robust and low-complexity receiver techniques. State-of-the-art proposals are both coherent ML receivers, ...
Tomaso Erseghe
CIVR
2010
Springer
187views Image Analysis» more  CIVR 2010»
15 years 6 months ago
Mixture model based contextual image retrieval
Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results...
Xing Xing, Yi Zhang, Bo Gong
ICML
2006
IEEE
16 years 2 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
PAMI
2008
161views more  PAMI 2008»
15 years 1 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...
121
Voted
BMCBI
2011
14 years 5 months ago
Genotype calling in tetraploid species from bi-allelic marker data using mixture models
Background: Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, ...
Roeland E. Voorrips, Gerrit Gort, Ben Vosman