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149
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ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
15 years 10 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
ACII
2005
Springer
15 years 8 months ago
Face and Facial Expression Recognition with an Embedded System for Human-Robot Interaction
In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and...
Yang-Bok Lee, Seungbin Moon, Yong-Guk Kim
INFOSCALE
2007
ACM
15 years 8 months ago
Ontology driven adaptive data processing in wireless sensor networks
It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper,we propose a WIreless Sensor Networks Ont...
Yuheng Hu, Zhendong Wu, Ming Guo
ESANN
2008
15 years 8 months ago
Phase transitions in Vector Quantization
Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
Aree Witoelar, Anarta Ghosh, Michael Biehl
LREC
2008
131views Education» more  LREC 2008»
15 years 8 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...