4.5 Article

Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

Unsupervised image segmentation with Gaussian Pairwise Markov Fields

Hugo Gangloff et al.

Summary: The Gaussian Pairwise Markov Field model is introduced to generalize existing latent variable models and introduce more correlations between variables. This new model offers a generalization of classical Markov Field modelization.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2021)

Article Physics, Multidisciplinary

Self-Supervised Variational Auto-Encoders

Ioannis Gatopoulos et al.

Summary: This paper introduces a novel generative model called selfVAE, which allows for conditional and unconditional sampling while simplifying the objective function. Furthermore, the paper explores the flexibility of selfVAE in data reconstruction and compression tasks, as well as its advantages compared to traditional VAE.

ENTROPY (2021)

Article Engineering, Electrical & Electronic

Suboptimal Kalman Filtering in Triplet Markov Models Using Model Order Reduction

Frederic Lehmann et al.

IEEE SIGNAL PROCESSING LETTERS (2020)

Article Computer Science, Artificial Intelligence

An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model

Haoyu Li et al.

NEUROCOMPUTING (2019)

Article Engineering, Electrical & Electronic

Assessing, the segmentation performance of pairwise and triplet Markov models

Ivan Gorynin et al.

SIGNAL PROCESSING (2018)

Article Ecology

Deep convolution neural network for image recognition

Boukaye Boubacar Traore et al.

ECOLOGICAL INFORMATICS (2018)

Article Statistics & Probability

STATISTICAL GUARANTEES FOR THE EM ALGORITHM: FROM POPULATION TO SAMPLE-BASED ANALYSIS

Sivaraman Balakrishnan et al.

ANNALS OF STATISTICS (2017)

Article Computer Science, Artificial Intelligence

Dempster-Shafer Fusion of Evidential Pairwise Markov Chains

Mohamed El Yazid Boudaren et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Transition-Aware Human Activity Recognition Using Smartphones

Jorge-L. Reyes-Ortiz et al.

NEUROCOMPUTING (2016)

Article Engineering, Electrical & Electronic

Unsupervised classification using hidden Markov chain with unknown noise copulas and margins

Stephane Derrode et al.

SIGNAL PROCESSING (2016)

Article Computer Science, Interdisciplinary Applications

Unsupervised data classification using pairwise Markov chains with automatic copulas selection

Stephane Derrode et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2013)

Article Statistics & Probability

ASYMPTOTIC PROPERTIES OF THE MAXIMUM LIKELIHOOD ESTIMATION IN MISSPECIFIED HIDDEN MARKOV MODELS

Randal Douc et al.

ANNALS OF STATISTICS (2012)

Article Engineering, Electrical & Electronic

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Geoffrey Hinton et al.

IEEE SIGNAL PROCESSING MAGAZINE (2012)

Article Acoustics

Acoustic Modeling Using Deep Belief Networks

Abdel-rahman Mohamed et al.

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2012)

Article Engineering, Electrical & Electronic

Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise

Pierre Lanchantin et al.

SIGNAL PROCESSING (2011)

Article Biology

A sequential smoothing algorithm with linear computational cost

Paul Fearnhead et al.

BIOMETRIKA (2010)

Article Engineering, Electrical & Electronic

The Variational Approximation for Bayesian Inference Life after the EM algorithm

Dimitris G. Tzikas et al.

IEEE SIGNAL PROCESSING MAGAZINE (2008)

Article Engineering, Electrical & Electronic

Unsupervised segmentation of triplet Markov chains hidden with long-memory noise

Pierre Lanchantin et al.

SIGNAL PROCESSING (2008)

Article Engineering, Electrical & Electronic

Fuzzy pairwise Markov chain to segment correlated noisy data

S. Le Cam et al.

SIGNAL PROCESSING (2008)

Article Computer Science, Artificial Intelligence

Multisensor triplet Markov chains and theory of evidence

Wojciech Pieczynski

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2007)

Article Engineering, Electrical & Electronic

Signal and image segmentation using pairwise Markov chains

S Derrode et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2004)

Article Computer Science, Artificial Intelligence

Pairwise Markov chains

W Pieczynski

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2003)

Article Mathematics

Triplet Markov chains

W Pieczynski

COMPTES RENDUS MATHEMATIQUE (2002)