Gaussian Mixture Models Of Texture And Colour For Image Database

By Retrieval Permuter Francos. 2003

4 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Retrieval & Search

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Andrea Vedaldi
4. Dacheng Tao
5. Ming-Hsuan Yang
6. Trevor Darrell
7. Andrew Zisserman
8. Thomas Brox

In Information Retrieval & Search

1. Thomas Brox
2. Jost Tobias Springenberg
3. Alexey Dosovitskiy
4. Maxim Tatarchenko

Citations in the corpus

• Learning to generate chairs with convolutional neural networks (2014, neutral): “This includes a wide variety of methods ranging from Gaussian mixture models [9, 31] to autoregressive models [19] and stochastic variations of neural networks [2, 11, 25, 17, 30].”
• Learning to Generate Chairs, Tables and Cars with Convolutional Networks (2014, methodology): “This includes a wide variety of methods ranging from Gaussian mixture models [10], [11] to autoregressive models [12] and stochastic variations of neural networks [13], [14], [15], [16], [17].”