PRNI

  16-18 May 2011 Korea University Seoul Korea

 2011

ieee_smc

IEEE International Workshop on Pattern Recognition in NeuroImaging

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Overview

 
Introduction

Pattern recognition and machine learning techniques are attracting much attention in the brain engineering community. Such methods provide a new way to analyze complex and huge brain imaging datasets. Many challenges are also present in other applications of pattern recognition, such as non-stationary distributions, model regularisation, high-dimensional time series, or causality modeling.

 
Goals

Following the success of the first International Symposium on Brain Decoding (Seoul, May 2010) and the ICPR Workshop on Brain Decoding (Istanbul, August 2010), these workshops aim at providing an opportunity for discussing recent advances in methods and applications, while trying to narrow the gap between imaging modalities. A subfield where discussion is of special interest is that of real-time methods, as they are at the confluence of modalities (EEG/fMRI) and at the forefront of machine learning research (incremental learning, non-i.i.d. data). Interpretability of classification and regression machines is also critical to increasing interactions between methods and application-oriented researchers, and is of particular interest for this workshop.

 

 
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Last update: Mar. 9, 2011