Total: 230, showing 21 - 30. Order by Relevance · Date · Visits · Title
results per page: 10 · 25 · 50
Submited: any time · last month · last 6 months · last year

21. Variational Approximations and Other Topics in Mixture Models

Dang, Sanjeena,

Mixture model-based clustering has become an increasingly popular data analysis technique since its introduction almost fifty years ago. Families of mixture models are said to arise when the component...

complete description

22. Dimension Reduction for Model-based Clustering via Mixtures of Multivariate t-Distributions

Morris, Katherine,

We introduce a dimension reduction method for model-based clustering obtained from a finite mixture of t-distributions. This approach is based on existing work on reducing dimensionality in the case o...

complete description

23. Diffusion-Based EM Algorithm for Distributed Estimation of Gaussian Mixtures in Wireless Sensor Networks

Yang Weng Wendong Xiao Lihua Xie,

Distributed estimation of Gaussian mixtures has many applications in wireless sensor network (WSN), and its energy-efficient solution is still challenging. This paper presents a novel diffusion-based ...

complete description

24. Bayesian analysis of an inverse Gaussian correlated frailty model

Kheiri, Soleiman, Kimber, Alan, Meshkani, Mohammad Reza,

In survival analysis frailty is often used to model heterogeneity between individuals or correlation within clusters. Typically frailty is taken to be a continuous random effect, yielding a continuous...

complete description

25. Bayesian analysis of an inverse Gaussian correlated frailty model

Kheiri, S., Kimber, A., Meshkani, M. R.,

In survival analysis frailty is often used to model heterogeneity between individuals or correlation within clusters. Typically frailty is taken to be a continuous random effect, yielding a continuous...

complete description

26. Mixture of beamformers for speech separation and extraction

Dmour, Mohammad A.,

In many audio applications, the signal of interest is corrupted by acoustic background noise, interference, and reverberation. The presence of these contaminations can significantly degrade the qualit...

complete description

27. Characterizing Clutter in the Context of Detecting Weak Gaseous Plumes in Hyperspectral Imagery

Tom Burr Bernie Foy Herb Fry Brian McVey,

Weak gaseous plume detection in hyperspectral imagery requires thatbackground clutter consisting of a mixture of components such as water, grass, and asphaltbe well characterized. The appropriate char...

complete description

28. Loss distributions modeling for motor TPL insurance class using Gaussian Mixture Method and EM Algorithm

Sandra Teodorescu,

The motor insurance is an important branch of non-life insurance in many countries; in some of them, coming first in total premium income category (in Romania, for example). In this paper we present t...

complete description

29. Distributive JPDAF for multi-target tracking in wireless sensor networks

Ma, Hui, Ng, Brian Wai-Him,

In this paper we present the development of a distributive joint probabilistic data association filter (JPDAF) for multi-target tracking in wireless sensor networks. We adopt sequential Monte Carlo (S...

complete description

30. A study of bit allocation for Gaussian mixture model quantizers and image coders /

Tran, Denis,

This thesis describes different bit allocation schemes and their performances when applied on coding line spectral frequencies (LSF) using the GMM-based coder designed by Subramaniam and a simple imag...

complete description

About

libsearch.com is a federated search engine harvesting 368 digital libraries and institutional repositories. We are currently providing access to 1,976,957 documents and our index is updated on a daily basis.


Site powered by:    
Open Archive Engine