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MICCAI
2009
Springer
14 years 8 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
CVPR
2011
IEEE
12 years 11 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
WSOM
2009
Springer
14 years 1 months ago
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Kai Labusch, Erhardt Barth, Thomas Martinetz

Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
MOBIQUITOUS
2007
IEEE
14 years 1 months ago
A Ferry-based Intrusion Detection Scheme for Sparsely Connected Ad Hoc Networks
— Several intrusion detection approaches have been proposed for mobile adhoc networks. Many of the approaches assume that there are sufficient neighbors to help monitor the trans...
Mooi Choo Chuah, Peng Yang, Jianbin Han