1956 search results - page 30 / 392 » Learning the Relative Importance of Features in Image Data |
CORR
2011
Springer
13 years 10 days ago
2011
Springer
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
ICIP
2008
IEEE
14 years 10 months ago
2008
IEEE
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
CIBCB
2005
IEEE
14 years 2 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
WSDM
2012
ACM
12 years 4 months ago
2012
ACM
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...