627 search results - page 11 / 126 » Structural Learning of Activities from Sparse Datasets |
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
ICMLA
2010
13 years 6 months ago
2010
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
ICIP
2004
IEEE
14 years 10 months ago
2004
IEEE
The dictionary approach to signal and image processing has been massively investigated in the last two decades, proving very attractive for a wide range of applications. The effec...