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» Aggregation-based model reduction of a Hidden Markov Model
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IROS
2006
IEEE
141views Robotics» more  IROS 2006»
15 years 10 months ago
Layered HMM for Motion Intention Recognition
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models...
Daniel Aarno, Danica Kragic
INTERSPEECH
2010
14 years 10 months ago
Comparison of HMM and TMDN methods for lip synchronisation
This paper presents a comparison between a hidden Markov model (HMM) based method and a novel artificial neural network (ANN) based method for lip synchronisation. Both model type...
Gregor Hofer, Korin Richmond
ICDAR
2009
IEEE
15 years 1 months ago
HMM-Based Online Recognition of Handwritten Chemical Symbols
In this paper, we present an online handwritten recognition method for Chemical Symbols, a widely used symbol in education and academic interactions. This method is based on Hidde...
Yang Zhang, Guangshun Shi, Jufeng Yang
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 1 months ago
The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection
Abstract. Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations ...
Michal Nánási, Tomás Vinar, B...
ICCV
2009
IEEE
15 years 1 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios