1956 search results - page 128 / 392 » Learning the Relative Importance of Features in Image Data |
185
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...
132
Voted
EWCBR
2004
Springer
15 years 9 months ago
2004
Springer
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
142
Voted
SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
137
Voted
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
132
Voted
IJCAI
2001
15 years 5 months ago
2001
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...