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ICANN
2007
Springer
14 years 19 days ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
AAAI
2008
13 years 11 months ago
Feature Selection for Activity Recognition in Multi-Robot Domains
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...
Douglas L. Vail, Manuela M. Veloso
ICCAD
2003
IEEE
127views Hardware» more  ICCAD 2003»
14 years 5 months ago
Code Placement with Selective Cache Activity Minimization for Embedded Real-time Software Design
– Many embedded system designs usually impose (hard) read-time constraints on tasks. Thus, computing a tight upper bound of the worst case execution time (WCET) of a software is ...
Junhyung Um, Taewhan Kim
AINA
2010
IEEE
14 years 1 months ago
Active Data Selection for Sensor Networks with Faults and Changepoints
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
ICCV
2003
IEEE
14 years 2 months ago
Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
Joachim Denzler, Matthias Zobel, Heinrich Niemann