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» Japanese Word Segmentation by Hidden Markov Model
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PRL
2000
182views more  PRL 2000»
14 years 9 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
93
Voted
GW
2009
Springer
195views Biometrics» more  GW 2009»
14 years 7 months ago
Continuous Realtime Gesture Following and Recognition
Abstract. We present a HMM based system for real-time gesture analysis. The system outputs continuously parameters relative to the gesture time progression and its likelihood. Thes...
Frédéric Bevilacqua, Bruno Zamborlin...
ICIP
2003
IEEE
15 years 11 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
80
Voted
SPEECH
2008
203views more  SPEECH 2008»
14 years 9 months ago
A comparison of grapheme and phoneme-based units for Spanish spoken term detection
The ever-increasing volume of audio data available online through the world wide web means that automatic methods for indexing and search are becoming essential. Hidden Markov mod...
Javier Tejedor, Dong Wang, Joe Frankel, Simon King...
93
Voted
FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
15 years 1 months ago
A New Instrumented Approach For Translating American Sign Language Into Sound And Text
This paper discusses a novel approach for capturing and translating isolated gestures of American Sign Language into spoken and written words. The instrumented part of the system ...
Jose L. Hernandez-Rebollar, Nicholas Kyriakopoulos...