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

3

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