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» On Similarity Measures for Spike Trains
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KES
2006
Springer
13 years 7 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
CVPR
2007
IEEE
14 years 9 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
ECAI
2008
Springer
13 years 9 months ago
WWW sits the SAT: Measuring Relational Similarity on the Web
Abstract. Measuring relational similarity between words is important in numerous natural language processing tasks such as solving analogy questions and classifying noun-modifier r...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
IJON
2007
83views more  IJON 2007»
13 years 7 months ago
Phase synchronization between LFP and spiking activity in motor cortex during movement preparation
A common approach to measure and assess cortical dynamics focuses on the analysis of mass signals, such as the local field potential (LFP), as an indicator for the underlying net...
Michael Denker, Sébastien Roux, Marc Timme,...
WACV
2005
IEEE
14 years 29 days ago
Measures of Similarity
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little att...
Ranjith Unnikrishnan, Martial Hebert