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Multi-modal Egocentric Activity Recognition using Audio-Visual Features
In this work, we propose a new framework for egocentric activity recognition problem based on combining audio-visual features with multi-kernel learning (MKL) and multi-kernel boosting (MKBoost).
Boosted Multiple Kernel Learning for First-Person Activity Recognition
Activity recognition from first-person (ego-centric) videos has recently gained attention due to the increasing ubiquity of the wearable cameras.
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