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ICASSP
2010
IEEE
13 years 8 months ago
Sound enhancement using sparse approximation with speclets
This paper addresses an innovative approach to informed enhancement of damaged sound. It uses sparse approximations with a learned dictionary of atoms modeling the main components...
Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz ...
SASO
2007
IEEE
14 years 2 months ago
Emergence of Smooth Pursuit using Chaos
The task of tracking an object has been fully studied and many solutions presented before. However, it is a perfect test bed for the study of a novel model using Coupled Chaos Sys...
Boris Duran, Giorgio Metta, Giulio Sandini
ISCC
2003
IEEE
110views Communications» more  ISCC 2003»
14 years 1 months ago
Intelligent Agents Serving Based On The Society Information
In this paper, we propose a serving system consisting intelligent agents processing society information in a multi-user domain. The agents use the similarity information on the us...
Sanem Sariel, B. Tevfik Akgün
CVPR
2004
IEEE
14 years 9 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
IROS
2006
IEEE
126views Robotics» more  IROS 2006»
14 years 1 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...