1950 search results - page 25 / 390 » Informative sampling for large unbalanced data sets |
COMCOM
2010
13 years 7 months ago
2010
A new method of estimating some statistical characteristics of TCP flows in the Internet is developed in this paper. For this purpose, a new set of random variables (referred to as...
BMVC
2000
13 years 9 months ago
2000
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
ICONIP
2009
13 years 5 months ago
2009
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...