40 search results - page 2 / 8 » Local Features Are Not Lonely - Laplacian Sparse Coding for ... |
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
WACV
2012
IEEE
12 years 13 days ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...