Minimum classification error learning for sequential data in the wavelet domain
From MaRDI portal
Publication:609117
DOI10.1016/j.patcog.2010.07.010zbMath1207.68320OpenAlexW2153545120MaRDI QIDQ609117
Liliana Forzani, Diego Tomassi, Diego H. Milone
Publication date: 30 November 2010
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2010.07.010
wavelet transformhidden Markov modelsminimum classification errordiscriminative trainingdynamic pattern recognitionhidden Markov trees
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Pattern recognition, speech recognition (68T10)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Real-time detection of steam in video images
- Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
- New signal decomposition method based speech enhancement
- Rotation-invariant texture retrieval using wavelet-based hidden Markov trees
- Writer identification of Chinese handwriting documents using hidden Markov tree model
- Computational Methods for Hidden Markov Tree Models—An Application to Wavelet Trees
- Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
- Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.