1956 search results - page 86 / 392 » Learning the Relative Importance of Features in Image Data |
AIA
2007
13 years 10 months ago
2007
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
MM
2010
ACM
13 years 9 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
ICML
2004
IEEE
14 years 2 months ago
2004
IEEE
We consider the problem of eliminating redundant Boolean features for a given data set, where a feature is redundant if it separates the classes less well than another feature or ...
PAMI
2007
13 years 8 months ago
2007
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...