MATHICSE Technical Report : Multigrid methods combined with low-rank approximation for tensor structured Markov chains
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
We describe a speechreading system that uses both, shape information from the lip contours and intensity information from the mouth area. Shape information is obtained by tracking and parameterising the inner and outer lip boundary in an image sequence. In ...
In this paper, we discuss and investigate a new method to estimate local emission probabilities in the framework of hidden Markov models (HMM). Each feature vector is considered to be a sequence and is supposed to be modeled by yet another HMM. Therefore, ...
Airflow rates, hence energy consumption, are directly affected by the amount of open area and consequently by the inhabitant behavior with respect to window opening. This report describes stochastic models using Markov chains, and used to generate time ser ...
In the current work we present two generalizations of the Parallel Tempering algorithm, inspired by the so-called continuous-time Infinite Swapping algorithm. Such a method, found its origins in the molecular dynamics community, and can be understood as th ...
In this paper, we discuss and investigate a new method to estimate local emission probabilities in the framework of hidden Markov models (HMM). Each feature vector is considered to be a sequence and is supposed to be modeled by yet another HMM. Therefore, ...
