8 search results - page 1 / 2 » An LVQ-based adaptive algorithm for learning from very small... |
47
Voted
IJON
2006
14 years 10 months ago
2006
122
Voted
CVPR
2012
IEEE
13 years 21 days ago
2012
IEEE
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
111
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
98
Voted
NIPS
2007
14 years 11 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...