Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation.
Yuanhao ChenLong ZhuAlan L. YuilleHongJiang ZhangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2009)
Keyphrases
- object classification
- object models
- unsupervised learning
- object recognition
- object detection
- image segmentation
- object model
- image features
- prior knowledge
- object categories
- range data
- data model
- pixel wise
- bayesian networks
- visual features
- co occurrence
- supervised learning
- multiscale
- generative model
- range images
- text classification
- object classes
- object segmentation
- high level
- viewpoint
- computer vision