133 search results - page 7 / 27 » A Theoretical Analysis of Bagging as a Linear Combination of... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
NIPS
2004
13 years 9 months ago
2004
We study gender discrimination of human faces using a combination of psychophysical classification and discrimination experiments together with methods from machine learning. We r...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
JMLR
2006
13 years 8 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
In this paper we address the problem of physical node capture attacks in wireless sensor networks and provide a control theoretic framework to model physical node capture, cloned n...