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JUCS
2006
185views more  JUCS 2006»
15 years 6 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...
CIKM
2009
Springer
16 years 1 months ago
Personalized social search based on the user's social network
This work investigates personalized social search based on the user’s social relations – search results are re-ranked according to their relations with individuals in the user...
David Carmel, Naama Zwerdling, Ido Guy, Shila Ofek...
IDA
2005
Springer
16 years 8 days ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
CVPR
2010
IEEE
15 years 8 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
ITNG
2008
IEEE
16 years 1 months ago
Hierarchy-Driven Approach for Attack Patterns in Software Security Education
We propose a hierarchy-driven approach to facilitate student learning and foster a deeper understanding of the importance of attack patterns in computer, network, and software sec...
Joshua J. Pauli, Patrick Henry Engebretson