149 search results - page 5 / 30 » Unsupervised learning of visual taxonomies |
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Recently, many approaches have been proposed for visual object category detection. They vary greatly in terms of how much supervision is needed. High performance object detection m...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
ICML
2000
IEEE
13 years 12 months ago
2000
IEEE
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...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...