2056 search results - page 339 / 412 » Learning Visual Invariance |
101
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
111
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
122
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
145
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
123
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...