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» Parametric Process Model Inference
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ICPR
2006
IEEE
14 years 8 months ago
Object Predetection Based on Kernel Parametric Distribution Fitting
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...
Jean-Philippe Tarel, Sabri Boughorbel
FGR
2000
IEEE
158views Biometrics» more  FGR 2000»
13 years 12 months ago
Dual-State Parametric Eye Tracking
Most eye trackers work well for open eyes. However, blinking is a physiological necessity for humans. Moreover, for applicationssuch as facial expression analysis and driver aware...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
UAI
2008
13 years 9 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
ICASSP
2008
IEEE
14 years 2 months ago
Fine-grained pitch accent and boundary tone labeling with parametric F0 features
Motivated by linguistic theories of prosodic categoricity, symbolic representations of prosody have recently attracted the attention of speech technologists. Categorical represent...
Sankaranarayanan Ananthakrishnan, Shrikanth Naraya...
SCESM
2006
ACM
238views Algorithms» more  SCESM 2006»
14 years 1 months ago
Nobody's perfect: interactive synthesis from parametrized real-time scenarios
As technical systems keep growing more complex and sophisticated, designing software for the safety-critical coordination between their components becomes increasingly difficult....
Holger Giese, Stefan Henkler, Martin Hirsch, Flori...