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» Fusion of multiple classifiers
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INFFUS
2006
85views more  INFFUS 2006»
15 years 2 months ago
Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources
Fusionplex is a system for integrating multiple heterogeneous and autonomous information sources that uses data fusion to resolve factual inconsistencies among the individual sour...
Amihai Motro, Philipp Anokhin
134
Voted
ICDAR
2003
IEEE
15 years 7 months ago
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
112
Voted
VLDB
2005
ACM
141views Database» more  VLDB 2005»
15 years 8 months ago
Automatic Data Fusion with HumMer
Heterogeneous and dirty data is abundant. It is stored under different, often opaque schemata, it represents identical real-world objects multiple times, causing duplicates, and ...
Alexander Bilke, Jens Bleiholder, Christoph Bö...
ADBIS
2005
Springer
147views Database» more  ADBIS 2005»
15 years 8 months ago
Declarative Data Fusion - Syntax, Semantics, and Implementation
In today’s integrating information systems data fusion, i.e., the merging of multiple tuples about the same real-world object into a single tuple, is left to ETL tools and other ...
Jens Bleiholder, Felix Naumann
CVPR
2008
IEEE
16 years 4 months ago
Detection with multi-exit asymmetric boosting
We introduce a generalized representation for a boosted classifier with multiple exit nodes, and propose a method to training which combines the idea of propagating scores across ...
Minh-Tri Pham, V-D. D. Hoang, Tat-Jen Cham