Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image
By Ping Zhong, Runsheng Wang. 2007
31 citations recorded by the source corpus.
Subfields: Atmospheric Science, Computer Vision and Pattern Recognition, Media Technology, Remote Sensing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Simon Lacoste-Julien
- Geoffrey E. Hinton
- Justin Domke
- François Soumis
- Yassine Yaakoubi
- Volodymyr Mnih
In Computer Vision and Pattern Recognition
- Simon Lacoste-Julien
- Luc Van Gool
- Andrew Zisserman
- Dacheng Tao
- Trevor Darrell
- Xiaogang Wang
- Li Fei-Fei
- Cordelia Schmid
In Media Technology
- Volodymyr Mnih
- Simon Lacoste-Julien
- Geoffrey E. Hinton
- Justin Domke
- François Soumis
- Yassine Yaakoubi
- Yoshua Bengio
- Ruslan Salakhutdinov
In Remote Sensing
- Simon Lacoste-Julien
- Geoffrey E. Hinton
- Justin Domke
- François Soumis
- Yassine Yaakoubi
- Volodymyr Mnih
- Jacob Goldberger
- Sainbayar Sukhbaatar
Citations in the corpus
- Structured Convolutional Kernel Networks for Airline Crew Scheduling (2021, methodology): “We first run an approximate MAP inference algorithm and then imagine that the marginals put a unit probability at the approximate MAP solution and zero elsewhere (Kumar et al., 2005; Zhong & Wang, 2007; Scharstein & Pal, 2007).”
- Learning Graphical Model Parameters with Approximate Marginal Inference (2013, background): “” Here, one approximates the gradient in (20) by running an (presumably approximate) MAP inference algorithm, and then imagining that the marginals put unit probability at the approximate MAP solution and zero elsewhere [27], [28], [21].”
- Machine Learning for Aerial Image Labeling (2013, methodology): “Such CRFs have been applied to urban area detection [Zhong and Wang, 2007] and LIDAR point classification [Niemeyer et al., 2008].”