149 search results - page 1 / 30 » Unsupervised learning of visual taxonomies |
112
Voted
NIPS
2008
15 years 1 months ago
2008
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
40
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
111
Voted
NAACL
2010
14 years 10 months ago
2010
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
87
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...
126
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
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 ...