Sökning: "hidden Markov model HMM"
Visar resultat 1 - 5 av 23 avhandlingar innehållade orden hidden Markov model HMM.
1. Hidden Markov models : Identification, control and inverse filtering
Sammanfattning : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. LÄS MER
2. Hidden Markov Models: Identification, Inverse Filtering and Applications
Sammanfattning : A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in the sense that it can only be observed via a noisy sensor. This thesis considers three themes in relation to HMMs, namely, identification, inverse filtering and applications. LÄS MER
3. Face Recognition : A Single View Based HMM Approach
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. Hidden Markov models - Traffic modeling and subspace methods
Sammanfattning : The main motivation for this thesis, however not the only one, is the search for models for traffic in telecommunication networks. Traffic characterization and modeling are of great importance in the analysis and dimensioning of communication systems. During the last decades we have experienced an explosive growth of our telecommunication networks. LÄS MER
5. Model Based Speech Enhancement and Coding
Sammanfattning : In mobile speech communication, adverse conditions, such as noisy acoustic environments and unreliable network connections, may severely degrade the intelligibility and natural- ness of the received speech quality, and increase the listening effort. This thesis focuses on countermeasures based on statistical signal processing techniques. LÄS MER