780 search results - page 80 / 156 » Learning Mid-Level Features For Recognition |
144
Voted
ICCV
2011
IEEE
14 years 2 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...
105
Voted
DAGM
1995
Springer
15 years 6 months 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...
126
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ICML
2010
IEEE
15 years 3 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 ...
99
Voted
DAGM
2005
Springer
15 years 8 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...
128
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ICCPOL
2009
Springer
15 years 4 days 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...