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IEAAIE
2005
Springer
13 years 10 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
JUCS
2006
185views more  JUCS 2006»
13 years 4 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
ECCV
1996
Springer
14 years 6 months ago
Generation of Semantic Regions from Image Sequences
The simultaneous interpretation of object behaviour from real world image sequences is a highly desirable goal in machine vision. Although this is rather a sophisticated task, one ...
Jonathan H. Fernyhough, Anthony G. Cohn, David Hog...
ENGL
2008
85views more  ENGL 2008»
13 years 4 months ago
Prediction of Concentration Profiles of Dispersed Particles through Horizontal Cylindrical Channels
Deposition of dispersed and ultradispersed solid particles in cylindrical channels has received considerable attention due to its practical significance and direct application in i...
Herbert Loria Molina, Pedro Pereira-Almao, Carlos ...
ICASSP
2011
IEEE
12 years 8 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...