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ICASSP
2011
IEEE
14 years 10 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
ICSE
2003
IEEE-ACM
16 years 6 months ago
A Model and a Design Approach to Building QoS Adaptive Systems
The paper introduces a system model called the probabilistic asynchronous model which characterises the context in which many practical and the Internet-based applications are bui...
Paul D. Ezhilchelvan, Santosh K. Shrivastava
EPEW
2007
Springer
16 years 17 days ago
Resource Sharing in Performance Models
In software systems, individual components interact not only through explicit function invocations, but also through implicit resource sharing. The use of shared resources signifi...
Vlastimil Babka, Martin Decký, Petr Tuma
BMVC
2000
15 years 7 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin
IPMI
2003
Springer
16 years 7 months ago
Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...