1956 search results - page 40 / 392 » Learning the Relative Importance of Features in Image Data |
CVPR
1998
IEEE
14 years 10 months ago
1998
IEEE
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
BDA
2007
13 years 10 months ago
2007
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
AIRS
2010
Springer
13 years 6 months ago
2010
Springer
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
ECCC
2006
13 years 8 months ago
2006
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...