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SIBGRAPI
2008
IEEE
14 years 4 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...
SEMCO
2007
IEEE
14 years 4 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
SRDS
2007
IEEE
14 years 4 months ago
Using Hidden Semi-Markov Models for Effective Online Failure Prediction
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising approaches is online failure prediction, which means that...
Felix Salfner, Miroslaw Malek
ICMI
2005
Springer
158views Biometrics» more  ICMI 2005»
14 years 3 months ago
Recognition of sign language subwords based on boosted hidden Markov models
Sign language recognition (SLR) plays an important role in human-computer interaction (HCI), especially for the convenient communication between deaf and hearing society. How to e...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Yiqiang ...
ISMIR
2005
Springer
205views Music» more  ISMIR 2005»
14 years 3 months ago
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models
Harmonic analysis is a standard musicological tool for understanding many pieces of Western classical music and making comparisons among them. Traditionally, this analysis is done...
J. Ashley Burgoyne, Lawrence K. Saul