780 search results - page 80 / 156 » Learning Mid-Level Features For Recognition |
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
DAGM
1995
Springer
14 years 16 days ago
1995
Springer
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
DAGM
2005
Springer
14 years 2 months ago
2005
Springer
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
ICCPOL
2009
Springer
13 years 6 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...