110 search results - page 3 / 22 » Learning image similarities via Probabilistic Feature Matchi... |
CISST
2004
13 years 7 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
ICANN
2009
Springer
14 years 25 days ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
ICIP
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
ECCV
2004
Springer
14 years 8 months ago
2004
Springer
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...