Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees

DOI10.1016/j.patcog.2009.11.010zbMath1191.68594OpenAlexW2018296043WikidataQ59032636 ScholiaQ59032636MaRDI QIDQ962733

Diego H. Milone, Leandro E. Di Persia, María E. Torres

Publication date: 7 April 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.11.010

zbMATH Keywords

waveletsEM algorithmspeech recognitionsequence learning

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items

Extended shearlet HMT model-based image denoising using BKF distribution ⋮ Minimum classification error learning for sequential data in the wavelet domain

Uses Software

• HMMER

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Real-time detection of steam in video images
• New signal decomposition method based speech enhancement
• The hierarchical hidden Markov model: Analysis and applications
• Rotation-invariant texture retrieval using wavelet-based hidden Markov trees
• Writer identification of Chinese handwriting documents using hidden Markov tree model
• Machine learning in computer vision.
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Advances in Cardiac Signal Processing
• A theory for multiresolution signal decomposition: the wavelet representation
• Handbook of Hidden Markov Models in Bioinformatics
• Maximum likelihood estimation for multivariate observations of Markov sources
• Ten Lectures on Wavelets
• Texture analysis with variational hidden Markov trees
• Pitch-synchronous wavelet representations of speech and music signals
• 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
• Image Processing and Analysis
• Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.