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JUCS
2006
185views more  JUCS 2006»
13 years 7 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...
IPPS
2005
IEEE
14 years 1 months ago
Dynamic Reconfiguration of Mechatronic Real-Time Systems Based on Configuration State Machines
Data flow and FSMs are used intensively to specify real-time systems in the field of mechatronics. Their implementation in FPGAs is discussed against the background of dynamic rec...
Steffen Toscher, Roland Kasper, Thomas Reinemann
IPPS
2003
IEEE
14 years 25 days ago
Lazy Parallelization: A Finite State Machine Based Optimization Approach for Data Parallel Image Processing Applications
Performance obtained with existing library-based parallelization tools for implementing high performance image processing applications is often sub-optimal. This is because inter-...
Frank J. Seinstra, Dennis Koelma
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
14 years 1 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
EACL
2006
ACL Anthology
13 years 9 months ago
Phrase-Based Backoff Models for Machine Translation of Highly Inflected Languages
We propose a backoff model for phrasebased machine translation that translates unseen word forms in foreign-language text by hierarchical morphological abstractions at the word an...
Mei Yang, Katrin Kirchhoff