348 search results - page 3 / 70 » Learning on the Test Data: Leveraging Unseen Features |
BIBM
2009
IEEE
14 years 3 months ago
2009
IEEE
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
KDD
2010
ACM
14 years 29 days ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
ICML
2002
IEEE
14 years 10 months ago
2002
IEEE
Multi-view algorithms reduce the amount of required training data by partitioning the domain features into separate subsets or views that are sufficient to learn the target concep...
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...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...