245 search results - page 12 / 49 » Describing Images using Inferred Visual Dependency Represent... |
108
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
108
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes t...
139
Voted
PAMI
2007
14 years 12 months ago
2007
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
116
Voted
VIS
2004
IEEE
16 years 1 months ago
2004
IEEE
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
92
Voted
ESANN
2001
15 years 1 months ago
2001
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...