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» Extremal collective behavior
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IJRR
2007
186views more  IJRR 2007»
13 years 8 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
EVI
2010
94views more  EVI 2010»
13 years 3 months ago
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task
This article presents results from an evaluation of the collective neuro-evolution (CONE) controller design method. CONE solves collective behavior tasks, and increases task perfor...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
DRR
2008
13 years 10 months ago
Segmentation-based retrieval of document images from diverse collections
We describe a methodology for retrieving document images from large extremely diverse collections. First we perform content extraction, that is the location and measurement of reg...
Michael A. Moll, Henry S. Baird
JAVA
2001
Springer
14 years 27 days ago
Supporting dynamic parallel object arrays
We present efficient support for generalized arrays of parallel data driven objects. Array elements are regular C++ objects, and are scattered across the parallel machine. An indi...
Orion Sky Lawlor, Laxmikant V. Kalé
ICRA
2005
IEEE
139views Robotics» more  ICRA 2005»
14 years 2 months ago
Making Collective Behaviours to work through Implicit Communication
— The aim of this paper is to investigate how stigmergic information allow each individual of a group of autonomous robots to take advantages from other individual behaviors. The...
Antonio D'Angelo, Enrico Pagello