593 search results - page 17 / 119 » Unsupervised Learning of Invariant Features Using Video |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we consider the problem of categorizing
videos of dynamic textures under varying view-point. We
propose to model each video with a collection of Linear
Dynamics S...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...