593 search results - page 17 / 119 » Unsupervised Learning of Invariant Features Using Video |
117
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CVPR
2009
IEEE
16 years 4 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...
123
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ICASSP
2008
IEEE
15 years 4 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
15 years 11 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
15 years 11 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
15 years 5 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...