143 search results - page 21 / 29 » Temporal Abstraction and Data Mining with Visualization of L... |
WAPCV
2004
Springer
14 years 22 days ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
CVPR
1998
IEEE
14 years 9 months ago
1998
IEEE
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
ECCV
2008
Springer
14 years 9 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...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...