133 search results - page 2 / 27 » A Theoretical Analysis of Bagging as a Linear Combination of... |
ACCV
2010
Springer
13 years 24 days ago
2010
Springer
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
NIPS
1996
13 years 7 months ago
1996
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...
ICPR
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed. We start from a framework developed by Tumer and Ghosh [1,2...
MCS
2000
Springer
13 years 9 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
JMLR
2010
13 years 16 days ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...