Svetha VenkateshCurtin University, Australia
Surviving the Data Deluge:Scalable feature extraction, discrimination and analysis
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with Dinh Phung and Duc Son Pham
NSF Workshop Jan, 2011
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Sensing
Beyond Nyquist, compress at information level
sensor sub-sampling
temporal sub-sampling
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Analysis Machine learning that ‘ubiquitously’ scales
…data
Model complexity grows as data grows.Non Parametric models
Example: Bayesian nonparametrics
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Multi-scale Decision makingEmotion counts!
Incidental influences
Immediate emotions
Decision/behaviour
Expected consequences
Expectedemotions
Expected utility (common) Immediate emotion and role in decision
making
Pervasive Framework for immediate affect detection and its role in decision making
First application area – autism – use/build sensors to regulate affect (mobile phones/ipad)
Later examine decision making regulated by affect
anxiety report