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» Virtual Sensors: Abstracting Data from Physical Sensors
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HRI
2006
ACM
15 years 3 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
ICRA
2003
IEEE
109views Robotics» more  ICRA 2003»
15 years 2 months ago
Narrative situation assessment for human-robot interaction
Abstract— In this paper we address the problem of interpreting sensory data for human-robot interaction, especially when gathered from several robots at the same time. After desc...
Björn Jensen, Roland Philippsen, Roland Siegw...
TIP
2008
141views more  TIP 2008»
14 years 9 months ago
Spatio-Spectral Color Filter Array Design for Optimal Image Recovery
Abstract--In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array--a physical construction whereby only...
Keigo Hirakawa, Patrick J. Wolfe
VR
2003
IEEE
141views Virtual Reality» more  VR 2003»
15 years 2 months ago
Device Independence and Extensibility in Gesture Recognition
Gesture recognition techniques often suffer from being highly device-dependent and hard to extend. If a system is trained using data from a specific glove input device, that syst...
Jacob Eisenstein, Shahram Ghandeharizadeh, Leana G...
EDBT
2006
ACM
179views Database» more  EDBT 2006»
15 years 9 months ago
TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
Jiong Yang, Meng Hu