Sökning: "hmm"
Visar resultat 16 - 20 av 69 uppsatser innehållade ordet hmm.
16. Jump Estimation of Hidden Markov Models with Time-Varying Transition Probabilities
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The Hidden Markov model is applicable to a wide variety of fields. Applied to financial time series, its assumed underlying state sequence can reflect the time series' tendency to behave differently over different periods of time. In many situations, models could be improved by including exogenous data. LÄS MER
17. Driving Behavior Prediction by Training a Hidden Markov Model
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Introducing automated vehicles in to traffic withhuman drivers, human behavior prediction is essential to obtainoperation safety. In this study, a human behavior estimationmodel has been developed. The estimations are based on aHidden Markov Model (HMM) using observations to determinethe driving style of surrounding vehicles. LÄS MER
18. Automatic Speech Recognition in Somali
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The field of speech recognition during the last decade has left the research stage and found its way into the public market, and today, speech recognition software is ubiquitous around us. An automatic speech recognizer understands human speech and represents it as text. LÄS MER
19. Map Matching to road segments using Hidden Markov Model with GNSS, Odometer and Gyroscope
Master-uppsats, Linköpings universitet/Programvara och systemSammanfattning : In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate the accuracy for road segment map matching. A few HMM algorithms using a Global Navigation Satellite System (GNSS) receiver, odometer and gyroscope sensors are presented. The HMM algorithms are evaluated on four accuracy metrics. LÄS MER
20. HMMs and LSTMs for On-line Gesture Recognition on the Stylaero Board : Evaluating and Comparing Two Methods
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : In this thesis, methods of implementing an online gesture recognition system for the novel Stylaero Board device are investigated. Two methods are evaluated - one based on LSTMs and one based on HMMs - on three kinds of gestures: Tap, circle, and flick motions. LÄS MER