Sökning: "Gaussian Markov Model"

Visar resultat 6 - 10 av 46 avhandlingar innehållade orden Gaussian Markov Model.

1. 6. A statistical approach to multi-input equivalent fatigue loads for the durability of automotive structures

   Författare :Gwenaelle Genet; Göteborgs universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Equivalent fatigue; uniaxial and multiaxial high cycle fatigue; multi-input variable amplitude loads; rainflow counting; Morel s model; Basquin s model; Gaussian process; Markov chain; Markov chain;

   Sammanfattning : In the automotive industry, due to temporal and financial constraints, we need to strongly reduce the duration of the design phase, but still ensure reliability and robustness. Structures in service are often exposed to complex variable amplitude loads. LÄS MER

3. 7. Bayesian Inference in Structural Second-Price Auctions

   Författare :Bertil Wegmann; Mattias Villani; Samita Sareen; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Asymmetry; Bid function approximation; Common values; Gamma model; Gaussian model; Markov Chain Monte Carlo; Private values; Variable selection; Internet auctions; Statistics; Statistik; Statistics; statistik;

   Sammanfattning : The aim of this thesis is to develop efficient and practically useful Bayesian methods for statistical inference in structural second-price auctions. The models are applied to a carefully collected coin auction dataset with bids and auction-specific characteristics from one thousand Internet auctions on eBay. LÄS MER

4. 8. Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling

   Författare :Johan Lindström; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; vegetation; time series analysis; video segmentation; spatio-temporal modelling; precipitation; Markov chain Monte Carlo; Gaussian Markov random fields; expectation maximisation; change point detection; Bayesian recursive estimation; African Sahel; adaptive Gaussian mixtures;

   Sammanfattning : In this thesis computationally intensive methods are used to estimate models and to make inference for large, spatio-temporal data sets. The thesis is divided into two parts: the first two papers are concerned with video analysis, while the last three papers model and investigate environmental data from the Sahel area in northern Africa. LÄS MER

5. 9. Lip-motion and speech biometrics in person recognition

   Författare :Maycel Isaac Faraj; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Audio-visual recognition; biometrics; Biometric recognition; Speaker verification; Speaker authentication; Person identification; Lip movements; Motion; Structure tensor; Orientation; Optical flow; Hidden Markov Model; Gaussian Markov Model; Lip-motion; Image analysis; Bildanalys;

   Sammanfattning : Biometric identification techniques are frequently used to improve security, e.g. in financial transactions, computer networks and secure critical locations. The purpose of biometric authentication systems is to verify an individual by her biological characteristics including those generating characterisitic behaviour. LÄS MER

7. 10. Speech Enhancement Using Nonnegative MatrixFactorization and Hidden Markov Models

   Författare :Nasser Mohammadiha; Arne Leijon; W. Bastiaan Kleijn; Cédric Févotte; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Speech enhancement; noise reduction; nonnegative matrix factorization; hidden Markov model; probabilistic latent component analysis; online dictionary learning; super-Gaussian distribution; MMSE estimator; temporal dependencies; dynamic NMF;

   Sammanfattning : Reducing interference noise in a noisy speech recording has been a challenging task for many years yet has a variety of applications, for example, in handsfree mobile communications, in speech recognition, and in hearing aids. Traditional single-channel noise reduction schemes, such as Wiener filtering, do not work satisfactorily in the presence of non-stationary background noise. LÄS MER