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» Distributions of Maximum Likelihood Estimators and Model Com...
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NIPS
2008
14 years 11 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
IPMI
2005
Springer
15 years 10 months ago
The Role of Non-Overlap in Image Registration
Here we model the effect of non-overlapping voxels on image registration, and show that a major defect of overlap-only models--their limited capture range--can be alleviated. Theor...
Jonas August, Takeo Kanade
ICASSP
2009
IEEE
15 years 4 months ago
Audio segmentation for speech recognition using segment features
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a no...
David Rybach, Christian Gollan, Ralf Schlüter...
NIPS
2004
14 years 11 months ago
Semi-parametric Exponential Family PCA
We present a semi-parametric latent variable model based technique for density modelling, dimensionality reduction and visualization. Unlike previous methods, we estimate the late...
Sajama, Alon Orlitsky
VTC
2010
IEEE
180views Communications» more  VTC 2010»
14 years 8 months ago
Analysis of Enhanced Deployment Models for Sensor Networks
Abstract—We present the estimation and evaluation of deployment models for sensor networks that exploit different amounts of a priori information. Topologies generated from the m...
Frank Oldewurtel, Petri Mähönen