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» Learning Hierarchical Models of Scenes, Objects, and Parts
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TCSV
2010
14 years 4 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang
ICCV
2009
IEEE
16 years 2 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
ICASSP
2010
IEEE
14 years 10 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
IJCAI
1989
14 years 11 months ago
Building a World Model for a Mobile Robot Using Dynamic Semantic Constraints
We are developing a new paradigm for a world model construction system which interprets a scene and builds a world model for a mobile robot using dynamic semantic constraints. The...
Minoru Asada, Yoshiaki Shirai
CVPR
2012
IEEE
13 years 5 days ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke