1956 search results - page 312 / 392 » Learning the Relative Importance of Features in Image Data |
CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
In this paper, we propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designe...
CIKM
2006
Springer
15 years 3 months ago
2006
Springer
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
WIOPT
2010
IEEE
14 years 10 months ago
2010
IEEE
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
ICML
2010
IEEE
15 years 28 days ago
2010
IEEE
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
CIKM
2010
Springer
14 years 10 months ago
2010
Springer
In advertising and content relevancy prediction it is important to understand whether, over time, information that reaches one demographic group spreads to others. In this paper w...