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CVPR
2008
IEEE
16 years 3 days ago
General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy
While there is a large class of Multiple-Target Tracking (MTT) problems for which batch processing is possible and desirable, batch MTT remains relatively unexplored in comparis...
Kevin Smith, Alan Carleton, Vincent Lepetit
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 11 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
DATE
2010
IEEE
168views Hardware» more  DATE 2010»
15 years 11 months ago
A new placement algorithm for the mitigation of multiple cell upsets in SRAM-based FPGAs
Modern FPGAs have been designed with advanced integrated circuit techniques that allow high speed and low power performance, joined to reconfiguration capabilities. This makes new...
Luca Sterpone, Niccolò Battezzati
ICRA
2002
IEEE
128views Robotics» more  ICRA 2002»
15 years 11 months ago
Generation of a Task Model by Integrating Multiple Observations of Human Demonstrations
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...
FGR
2000
IEEE
141views Biometrics» more  FGR 2000»
15 years 10 months ago
Multiple Cues used in Model-Based Human Motion Capture
Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
Thomas B. Moeslund, Erik Granum