124 search results - page 3 / 25 » Modeling Scenes with Local Descriptors and Latent Aspects |
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
CIVR
2009
Springer
13 years 12 months ago
2009
Springer
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
WWW
2004
ACM
14 years 6 months ago
2004
ACM
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...