76 search results - page 4 / 16 » Detecting Changes in Unlabeled Data Streams Using Martingale |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
ML
2010
ACM
13 years 3 months ago
2010
ACM
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
DAGSTUHL
2007
13 years 6 months ago
2007
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
CSFW
1996
IEEE
13 years 9 months ago
1996
IEEE
: This paper examines some of the theoretical foundations of the distributable change detection method introduced by Forrest et al. in [10], including fundamental bounds on some of...