616 search results - page 115 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
ESANN
2007
13 years 10 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
GIS
2008
ACM
14 years 9 months ago
2008
ACM
This paper presents an automatic algorithm which reconstructs building models from airborne LiDAR (light detection and ranging) data of urban areas. While our algorithm inherits t...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
MM
2004
ACM
14 years 1 months ago
2004
ACM
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
EDBT
2008
ACM
14 years 8 months ago
2008
ACM
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...