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IDEAL
2004
Springer
14 years 2 months ago
Combining Gaussian Mixture Models
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
Hyoungjoo Lee, Sungzoon Cho
ICC
2000
IEEE
105views Communications» more  ICC 2000»
14 years 1 months ago
FDMA Capacity of the Gaussian Multiple Access Channel With ISI
— This paper proposes a numerical method for characterizing the achievable rate region for a Gaussian multiple access channel with ISI under the frequency division multiple acces...
Wei Yu, John M. Cioffi
SCALESPACE
1999
Springer
14 years 1 months ago
Calculations on Critical Points under Gaussian Blurring
Abstract. The behaviour of critical points of Gaussian scale-space images is mainly described by their creation and annihilation. In existing literature these events are determined...
Arjan Kuijper, Luc Florack
EVOW
2008
Springer
13 years 10 months ago
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control
In many cases what matters is not whether a false discovery is made or not but the expected proportion of false discoveries among all the discoveries made, i.e. the so-called false...
Jose M. Peña
NIPS
2007
13 years 10 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton