97 search results - page 1 / 20 » Learning Condensed Feature Representations from Large Unsupe... |
ACL
2011
2011
Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
13 years 2 months ago
CVPR
2006
IEEE
15 years 27 days ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
IS
2008
13 years 11 months ago
2008
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
PRL
2011
13 years 1 months ago
2011
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...