Mixture Model Segmentation is a statistical clustering method that partitions entities into latent risk classes by modeling the population distribution as a finite mixture of component probability distributions, each representing a distinct risk segment.
48
Publications
9.4K
Citations
150
Authors
89
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Publications per year
2017–2026
11
Parents
Publications
48
Adaptive background mixture models for real-time tracking
Chris Stauffer, W. Eric L. Grimson · 2003 · 6.9K citations
Newton method for the ICA mixture model
Jason Palmer, Scott Makeig, Kenneth Kreutz-Delgado et al. · 2008 · 224 citations
1–5 of 48
Authors
150
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2
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2
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2
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1–5 of 150
Institutions
89
Airlangga University
Surabaya, Indonesia
2 h-index
3 publications
48 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
13.9K citations
University of Ioannina
Ioannina, Greece
2 h-index
4 publications
468 citations
Harvard University
Cambridge, United States
2 h-index
8 publications
481 citations
The University of Queensland
Brisbane, Australia
2 h-index
4 publications
122 citations
Brigham and Women's Hospital
Boston, United States
2 h-index
8 publications
481 citations
Sepuluh Nopember Institute of Technology
Surabaya, Indonesia
2 h-index
3 publications
48 citations
Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
38 citations
1–8 of 89
Venues
- Pattern Recognition
3 publications · 187 citations
3
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 2 publications · 400 citations
2
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- Neurocomputing
2 publications · 35 citations
2
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- IEEE Transactions on Geoscience and Remote Sensing
1 publications · 54 citations
1
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- Neural Networks
1 publications · 19 citations
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1–5