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IDEAL
2004
Springer
15 years 5 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»
15 years 4 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
15 years 4 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
15 years 1 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
15 years 1 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