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» An Instance Selection Approach to Multiple Instance Learning
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IROS
2007
IEEE
128views Robotics» more  IROS 2007»
14 years 1 months ago
Exploiting similarities for robot perception
— A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and...
Kai Welke, Erhan Oztop, Gordon Cheng, Rüdiger...
ICCS
2007
Springer
14 years 1 months ago
Adaptive Observation Strategies for Forecast Error Minimization
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 8 months ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
BMCBI
2006
127views more  BMCBI 2006»
13 years 7 months ago
A graph-search framework for associating gene identifiers with documents
Background: One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article. We consider a relaxation ...
William W. Cohen, Einat Minkov
MLMI
2004
Springer
14 years 27 days ago
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Norman Poh, Samy Bengio