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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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FGR
2000
IEEE
211views Biometrics» more  FGR 2000»
15 years 11 months ago
Recognizing Lower Face Action Units for Facial Expression Analysis
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
SBP
2012
Springer
14 years 2 months ago
Creating Interaction Environments: Defining a Two-Sided Market Model of the Development and Dominance of Platforms
Interactions between individuals, both economic and social, are increasingly mediated by technological systems. Such platforms facilitate interactions by controlling and regularizi...
Walter E. Beyeler, Andjelka Kelic, Patrick D. Finl...
NIPS
2003
15 years 8 months ago
Markov Models for Automated ECG Interval Analysis
We examine the use of hidden Markov and hidden semi-Markov models for automatically segmenting an electrocardiogram waveform into its constituent waveform features. An undecimated...
Nicholas P. Hughes, Lionel Tarassenko, Stephen J. ...
BC
2008
72views more  BC 2008»
15 years 6 months ago
Dynamics and bifurcations of the adaptive exponential integrate-and-fire model
Recently, several two-dimensional spiking neuron models have been introduced, with the aim of reproducing the diversity of electrophysiological features displayed by real neurons w...
Jonathan Touboul, Romain Brette
JMLR
2011
192views more  JMLR 2011»
15 years 1 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...