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ICASSP
2011
IEEE
14 years 10 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...
MM
2009
ACM
209views Multimedia» more  MM 2009»
16 years 1 months ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
ALIFE
2006
15 years 6 months ago
Self-Replication and Self-Assembly for Manufacturing
It has been argued that a central objective of nanotechnology is to make products inexpensively, and that self-replication is an effective approach to very low-cost manufacturing....
Robert Ewaschuk, Peter D. Turney
CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
15 years 10 months ago
Further results on plant parameter identification using continuous-time multiple-model adaptive estimators
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Vahid Hassani, A. Pedro Aguiar, António Man...
ATVA
2010
Springer
148views Hardware» more  ATVA 2010»
15 years 7 months ago
Recursive Timed Automata
We study recursive timed automata that extend timed automata with recursion. Timed automata, as introduced by Alur and Dill, are finite automata accompanied by a finite set of real...
Ashutosh Trivedi, Dominik Wojtczak