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» Unsupervised discovery of visual object class hierarchies
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ICML
2000
IEEE
14 years 28 days ago
Using Learning by Discovery to Segment Remotely Sensed Images
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
Leen-Kiat Soh, Costas Tsatsoulis
ECOOP
1991
Springer
14 years 2 days ago
Incremental Class Dictionary Learning and Optimization
We have previously shown how the discovery of classes from objects can be automated, and how the resulting class organization can be e ciently optimized in the case where the opti...
Paul L. Bergstein, Karl J. Lieberherr
ECCV
2008
Springer
14 years 10 months ago
Constructing Category Hierarchies for Visual Recognition
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
Marcin Marszalek, Cordelia Schmid
CVPR
2006
IEEE
14 years 10 months ago
Automatic Discovery of Action Taxonomies from Multiple Views
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
CVPR
2008
IEEE
14 years 10 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele