8 search results - page 1 / 2 » An LVQ-based adaptive algorithm for learning from very small... |
IJON
2006
13 years 4 months ago
2006
CVPR
2012
IEEE
11 years 7 months 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
14 years 1 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 ...
CVPR
2011
IEEE
13 years 1 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...
NIPS
2007
13 years 6 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...