748 search results - page 63 / 150 » Learning Feature Distance Measures for Image Correspondences |
DAGM
2011
Springer
12 years 9 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
ICPR
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speci�...
ICPR
2000
IEEE
14 years 10 months ago
2000
IEEE
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
ISBI
2007
IEEE
14 years 3 months ago
2007
IEEE
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...