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Surviving the Data Deluge: Scalable feature extraction, discrimination and analysis. … . … . Svetha Venkatesh Curtin University, Australia. 2. 1. 2. 3. 3. NSF Workshop Jan, 2011. with Dinh Phung and Duc Son Pham. Sensing Beyond Nyquist , compress at information level.
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Surviving the Data Deluge: Scalable feature extraction, discrimination and analysis … … Svetha Venkatesh Curtin University, Australia 2 1 2 3 3 NSF Workshop Jan, 2011 with Dinh Phung and Duc Son Pham
SensingBeyond Nyquist, compress at information level sensor sub-sampling temporal sub-sampling
Analysis Machine learning that ‘ubiquitously’ scales … Model complexity grows as data grows. Non Parametric models … 2 1 2 3 3 … data Example: Bayesian nonparametrics
Multi-scale Decision makingEmotion counts! • 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 Immediate emotions Decision/ behaviour Expected emotions Expected consequences Incidental influences