281 search results - page 4 / 57 » Group-based learning: a boosting approach |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
KDD
1999
ACM
13 years 11 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multicl...