362 research outputs found
Measures and metrics for automatic emotion classification via FACET
For dynamic emotions to be modelled in a natural and
convincing way, systems must rely on accurate affective analysis
of facial expressions in the first place. The present work
introduces two measures for evaluating automatic emotion
classification performance. It further provides a systematic
comparison between 14 databases of dynamic expressions.
Machine analysis was conducted using the FACET system, with
an algorithm calculating recognition sensitivity and confidence.
Results revealed the proportion of facial stimuli that could be
recognised by the machine algorithm above threshold evidence,
showing significant differences in recognition performance
between the databases
CV4: USING UK OBSERVATIONAL DATA TO IDENTIFY POSSIBILITIES FOR THE COST-EFFECTIVE IMPROVEMENT OF THE TREATMENT OF ATRIAL FIBRILLATION
Fitness costs of herbicide resistance across natural populations of the common morning glory, Ipomoea purpurea
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134117/1/evo13016_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134117/2/evo13016.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134117/3/evo13016-sup-0001-FigS1.pd
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