118 search results - page 2 / 24 » Universal Filtering via Hidden Markov Modeling |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
PRL
2006
13 years 4 months ago
2006
We present a novel approach to edge detection in bar code signals using a hidden Markov model (HMM). We also present an algorithm for selection of an optimal filter scale used in ...
BMCBI
2007
13 years 4 months ago
2007
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
CDC
2008
IEEE
13 years 4 months ago
2008
IEEE
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...