224 search results - page 14 / 45 » Learning in Computer Vision: Some Thoughts |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
This paper presents a simple but robust visual tracking algorithm based on representing the appearances of objects using affine warps of learned linear subspaces of the image spac...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...