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» Combining Multiple Clustering Systems
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KBS
2006
150views more  KBS 2006»
13 years 7 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
ISCA
1994
IEEE
104views Hardware» more  ISCA 1994»
13 years 12 months ago
Exploring the Design Space for a Shared-Cache Multiprocessor
In the near future, semiconductor technology will allow the integration of multiple processors on a chip or multichipmodule (MCM). In this paper we investigate the architecture an...
Basem A. Nayfeh, Kunle Olukotun
ICPR
2006
IEEE
14 years 8 months ago
Robust Tracking of Multiple People in Crowds Using Laser Range Scanners
Laser based people tracking systems have been developed for mobile robotic or intelligent surveillance areas. Existing systems rely on laser point clustering to extract object loc...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
ANNPR
2008
Springer
13 years 9 months ago
Combining Methods for Dynamic Multiple Classifier Systems
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
Amber Tomas
NAACL
2007
13 years 9 months ago
Combining Outputs from Multiple Machine Translation Systems
Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar...
Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xian...