Fast, Large-Scale Transformation-Invariant Clustering
By Brendan J. Frey, Nebojsa Jojic. 2001
39 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Probabilistic & Bayesian Methods
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
- Nemanja Petrović
- A. Ivanovic
- Nebojsa Jojic
- Anitha Kannan
- Brendan J. Frey
- Vittorio Ferrari
- Hans-Andrea Loeliger
- Christoph H. Lampert
In Computer Vision and Pattern Recognition
- Brendan J. Frey
- Nebojsa Jojic
- Anitha Kannan
- Nemanja Petrović
- A. Ivanovic
- Andrew Zisserman
- Luc Van Gool
- Antonio Torralba
In Probabilistic & Bayesian Methods
- Nemanja Petrović
- A. Ivanovic
- Nebojsa Jojic
- Anitha Kannan
- Brendan J. Frey
- Yoshua Bengio
- Benigno Uria
- Hugo Larochelle
Citations in the corpus
- Spatial Transformer Networks (2015, neutral): “In this work, we aim to achieve invariant representations by manipulating the data rather than the feature extractors, something that was done for clustering in [7].”
- Recursive estimation of generative models of video (2006, methodology): “For example, (19) can be efficiently computed using two dimensional FFT [ 11 ] as”
- Epitomic analysis of appearance and shape (2003, background): “The number of possible mappings is assumed to be finite, for example by assuming that the mapping copies entire square patches from the epitome, making the number of possible mappings equal to the number of discrete locations in the epitome, NeMe.”