139 search results - page 6 / 28 » Learning and using taxonomies for fast visual categorization |
EMMCVPR
2005
Springer
15 years 3 months ago
2005
Springer
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
ICIAP
2009
ACM
15 years 2 months ago
2009
ACM
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
118
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PAMI
2012
13 years 5 days ago
2012
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
100
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of...