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» Fusion of multiple classifiers
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SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
14 years 3 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
DEXA
2004
Springer
79views Database» more  DEXA 2004»
14 years 2 months ago
Querying Distributed Data in a Super-Peer Based Architecture
Data integration is a significant challenge: relevant data objects are split across multiple information sources, and often owned by different organizations. The sources represent...
Zohra Bellahsene, Mark Roantree
ICRA
1998
IEEE
86views Robotics» more  ICRA 1998»
14 years 1 months ago
Kinematic Manipulability of General Constrained Rigid Multibody Systems
This paper extends the kinematic manipulability concept commonly used for serial manipulators to general constrained rigid multibody systems. Examples of such systems include multi...
John T. Wen, Lee S. Wilfinger
BSN
2009
IEEE
147views Sensor Networks» more  BSN 2009»
14 years 1 months ago
Classification of Physical Interactions between Two Subjects
This work addresses the problem of detecting and classifying the interaction between two subjects. While the use of Wireless Sensor Networks (WSN) for human action detection has b...
Ruzena Bajcsy, Alessandro Borri, Maria Domenica Di...
AAAI
2006
13 years 10 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...