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» Hierarchical Hidden Markov Models for Information Extraction
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IROS
2006
IEEE
142views Robotics» more  IROS 2006»
15 years 5 months ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
DATE
2005
IEEE
168views Hardware» more  DATE 2005»
15 years 5 months ago
Hardware Acceleration of Hidden Markov Model Decoding for Person Detection
This paper explores methods for hardware acceleration of Hidden Markov Model (HMM) decoding for the detection of persons in still images. Our architecture exploits the inherent st...
Suhaib A. Fahmy, Peter Y. K. Cheung, Wayne Luk
CLEAR
2007
Springer
133views Biometrics» more  CLEAR 2007»
15 years 6 months ago
The Acoustic Event Detector of AIT
In this paper the acoustic event detection and classification system that has been developed at Athens Information Technology is presented. This system relies on the use of severa...
Christos Boukis, Lazaros C. Polymenakos
NIPS
2008
15 years 1 months ago
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
15 years 1 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...