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» Supervised dimensionality reduction using mixture models
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CORR
2000
Springer
86views Education» more  CORR 2000»
14 years 11 months ago
Variable Word Rate N-grams
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...
Yoshihiko Gotoh, Steve Renals
ICPR
2008
IEEE
15 years 6 months ago
An evaluation of bi-modal facial appearance+facial expression face biometrics
This paper introduces a framework that employs the Fisher linear discriminant model (FLDM) and classifier (FLDC) on integrated facial appearance and facial expression features. T...
Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz, Tony Ja...
ICML
2000
IEEE
16 years 17 days ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
ESANN
2006
15 years 1 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
15 years 1 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...