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SOUPS
2009
ACM
15 years 9 months ago
Revealing hidden context: improving mental models of personal firewall users
The Windows Vista personal firewall provides its diverse users with a basic interface that hides many operational details. However, concealing the impact of network context on th...
Fahimeh Raja, Kirstie Hawkey, Konstantin Beznosov
ICPR
2002
IEEE
16 years 4 months ago
Facial Expression Recognition Using Pseudo 3-D Hidden Markov Models
In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
Frank Hülsken, Frank Wallhoff, Gerhard Rigoll...
ICML
2009
IEEE
16 years 3 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
SIBGRAPI
2008
IEEE
15 years 9 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
15 years 9 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