Incremental learning of nonparametric Bayesian mixture models
By Ryan Gomes, Max Welling, Pietro Perona. 2008
63 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Chen Yu
- Linda B. Smith
- James M. Rehg
- Magda Gregorová
- Jason Ramapuram
- Alexandros Kalousis
- Ahmad Humayun
- Fei Ye
In Computer Vision and Pattern Recognition
- Chen Yu
- James M. Rehg
- Fei Ye
- Adrian G. Bors
- Magda Gregorová
- Ngoc Anh Thai
- Jason Ramapuram
- Alexandros Kalousis
Citations in the corpus
- Lifelong Generative Modeling (2017, methodology): “tional Bayes (SVB) [39] and Incremental Bayesian Clustering methods [40, 41] in that we estimate and refine posteriors through time.”
- Incremental Object Learning From Contiguous Views (2019, result): “This is similar to discriminative incremental clustering [16].”