52 search results - page 7 / 11 » Learning Nonlinear Overcomplete Representations for Efficien... |
JMLR
2008
14 years 10 months ago
2008
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
98
Voted
CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
75
Voted
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
103
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JMLR
2008
14 years 9 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
80
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...