Sökning: "Hidden Markov model"

Visar resultat 31 - 35 av 70 avhandlingar innehållade orden Hidden Markov model.

  1. 31. Interacting Particle Systems: Percolation, Stochastic Domination and Randomly Evolving Environments

    Författare :Erik Broman; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Determinantal processes; k-dependence; k-block-factors; percolation; stochastic Ising models; contact process; $ epsilon-$movability; hidden Markov chain; stochastic domination; k-block-factors;

    Sammanfattning : In this thesis we first analyze the class of one-dependent trigonometric determinantal processes and show that they are all two-block-factors. We do this by constructing the two-block-factors explicitly. Second we investigate the dynamic stability of percolation for the stochastic Ising model and the contact process. LÄS MER

  2. 32. EM Estimation in Phase Type Models

    Författare :Marita Olsson; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; phase type distributions; coxian distribution; EM algorithm; I-divergence; density estimation; right censoring; interval censoring; standard error estimation; asymptotic theory; jackknife; relapse clinical trials; survival data; hidden Markov chain; I-divergence;

    Sammanfattning : This thesis consists of four articles whose theme in common is the class of phase type distributions. In the first article an EM algorithm is presented to estimate the parameters of a phase type distribution of fixed order. Also, it is shown that the algorithm can be used to approximate other continuous distributions by phase type distributions. LÄS MER

  3. 33. Face Recognition : A Single View Based HMM Approach

    Författare :Hung Son Le; Haibo Li; Josef Bigun; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; face recognition; pattern recognition; computer vision; HMM; Hidden Markov Models; contrast enhancement; pyramid fusion; image processing; Computer science; Datavetenskap;

    Sammanfattning : This dissertation addresses the challenges of giving computers the ability of doing face recognition, i.e. discriminate between different faces. Face recognition systems are commonly trained with a database of face images, becoming “familiar” with the given faces. LÄS MER

  4. 34. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

    Sammanfattning : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. LÄS MER

  5. 35. Probabilistic Sequence Models with Speech and Language Applications

    Författare :Gustav Eje Henter; W. Bastiaan Kleijn; Arne Leijon; Gernot Kubin; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

    Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER