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EUROSSC
2010
Springer
15 years 2 months ago
Identifying Important Action Primitives for High Level Activity Recognition
Smart homes have a user centered design that makes human activity as the most important type of context to adapt the environment according to people's needs. Sensor systems th...
Atif Manzoor, Claudia Villalonga, Alberto Calatron...
ESSLLI
2009
Springer
15 years 2 months ago
A Salience-Driven Approach to Speech Recognition for Human-Robot Interaction
We present an implemented model for speech recognition in natural environments which relies on contextual information about salient entities to prime utterance recognition. The hyp...
Pierre Lison
ICCV
2009
IEEE
15 years 2 months ago
Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive segmentation
In the context of variational image segmentation, we propose a new finite-dimensional implicit surface representation. The key idea is to span a subset of implicit functions with ...
Benoit Mory, Roberto Ardon, Anthony J. Yezzi, Jean...
ICRA
2009
IEEE
208views Robotics» more  ICRA 2009»
15 years 2 months ago
Affordance based word-to-meaning association
Abstract-- This paper presents a method to associate meanings to words in manipulation tasks. We base our model on an affordance network, i.e., a mapping between robot actions, rob...
Verica Krunic, Giampiero Salvi, Alexandre Bernardi...
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 2 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat