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» Density Estimation: Nonparametric Techniques
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IHI
2010
136views Healthcare» more  IHI 2010»
13 years 5 months ago
Modeling and estimating the spatial distribution of healthcare workers
This paper describes a spatial model for healthcare workers' location in a large hospital facility. Such models have many applications in healthcare, such as supporting timea...
Donald Ephraim Curtis, Christopher S. Hlady, Srira...
MICCAI
2006
Springer
14 years 11 months ago
Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions
Abstract. In radiotherapy, the constant margin taken around the visible tumor is a very coarse approximation of the invasion margin of cancerous cells. In this article, a new formu...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...
ICML
2005
IEEE
14 years 11 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
ICPR
2010
IEEE
14 years 5 months ago
Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
Thilo Stadelmann, Bernd Freisleben
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
12 years 19 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray