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» Multiple Pattern Matching Algorithms on Collage System
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KAIS
2008
165views more  KAIS 2008»
15 years 1 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
Hongyu Guo, Herna L. Viktor
PR
2007
133views more  PR 2007»
15 years 1 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
ICRA
2009
IEEE
155views Robotics» more  ICRA 2009»
15 years 8 months ago
Monte Carlo simultaneous localization of multiple unknown transient radio sources using a mobile robot with a directional antenn
— We report our system and algorithm developments that enable a single mobile robot equipped with a directional antenna to simultaneously localize multiple unknown transient radi...
Dezhen Song, Chang-Young Kim, Jingang Yi
VLDB
2004
ACM
120views Database» more  VLDB 2004»
15 years 7 months ago
Merging the Results of Approximate Match Operations
Data Cleaning is an important process that has been at the center of research interest in recent years. An important end goal of effective data cleaning is to identify the relatio...
Sudipto Guha, Nick Koudas, Amit Marathe, Divesh Sr...
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 6 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor