Inference in Hidden Markov Models (Springer Series in Statistics)

Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations

Signal Processing

Multisensor triplet Markov chains and theory of evidence

International Journal of Approximate Reasoning

Acoustic Modelling Using Continuous Rational Kernels

Journal of VLSI Signal Processing Systems

An Exploratory Study of Database Integration Processes

IEEE Transactions on Knowledge and Data Engineering

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

Signal Processing

Adaptive estimation of the transition density of a particular hidden Markov chain

Journal of Multivariate Analysis

Adaptive methods for sequential importance sampling with application to state space models

Statistics and Computing

Adaptive importance sampling in general mixture classes

Statistics and Computing

Parabolic acceleration of the EM algorithm

Statistics and Computing

Monitoring the Full Range of ω -Regular Properties of Stochastic Systems

VMCAI '09 Proceedings of the 10th International Conference on Verification, Model Checking, and Abstract Interpretation

Improving bug triage with bug tossing graphs

Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering

Extending Context Spaces Theory by Predicting Run-Time Context

NEW2AN '09 and ruSMART '09 Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces

Automatic detection system for cough sounds as a symptom of abnormal health condition

IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics

A unified traffic model for MPEG-4 and H.264 video traces

IEEE Transactions on Multimedia

A semiparametric approach to hidden Markov models under longitudinal observations

Statistics and Computing

Web Services Reputation Assessment Using a Hidden Markov Model

ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing

On approximate maximum-likelihood methods for blind identification: how to cope with the curse of dimensionality

IEEE Transactions on Signal Processing

Fast communication: On including sequential dependence in ICA mixture models

Signal Processing

Data analysis and bioinformatics

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence

Monitoring temporal properties of stochastic systems

VMCAI'08 Proceedings of the 9th international conference on Verification, model checking, and abstract interpretation

An improved method for voice pathology detection by means of a HMM-based feature space transformation

Pattern Recognition

A constructive proof of the existence of Viterbi processes

IEEE Transactions on Information Theory

Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise

Signal Processing

Building gene networks with time-delayed regulations

Pattern Recognition Letters

Tasking networked CCTV cameras and mobile phones to identify and localize multiple people

Proceedings of the 12th ACM international conference on Ubiquitous computing

A novel rotationally invariant region-based hidden Markov model for efficient 3-D image segmentation

IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation

A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures

Pattern Recognition

Flow-based Bayesian estimation of nonlinear differential equations for modeling biological networks

PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics

Consistency of feature Markov processes

ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory

Analyticity, convergence, and convergence rate of recursive maximum-likelihood estimation in hidden Markov models

IEEE Transactions on Information Theory

Synoptic: summarizing system logs with refinement

SLAML'10 Proceedings of the 2010 workshop on Managing systems via log analysis and machine learning techniques

Real-time recognition of percussive sounds by a model-based method

EURASIP Journal on Advances in Signal Processing - Special issue on musical applications of real-time signal processing

Minimax estimation in systems of observation with Markovian chains by integral criterion

Automation and Remote Control

Direct, prediction- and smoothing-based Kalman and particle filter algorithms

Signal Processing

Performance issues on integration of security services

Transactions on computational science XI

Forecasting with non-homogeneous hidden Markov models

Statistics and Computing

Unsupervised segmentation of hidden semi-Markov non-stationary chains

Signal Processing

Monitorability of stochastic dynamical systems

CAV'11 Proceedings of the 23rd international conference on Computer aided verification

A computational framework for empirical Bayes inference

Statistics and Computing

Fixed-Interval Kalman Smoothing Algorithms in Singular State---Space Systems

Journal of Signal Processing Systems

Consensus in Networks of Multiagents with Switching Topologies Modeled as Adapted Stochastic Processes

SIAM Journal on Control and Optimization

Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm

Computational Statistics & Data Analysis

Signal processing in a nonlinear, nongaussian, and nonstationary world

Nonlinear Speech Modeling and Applications

Implied distributions in multiple change point problems

Statistics and Computing

Inference for non-linear diffusions and jump-diffusions: a Monte Carlo EM approach

ACMIN'12 Proceedings of the 14th international conference on Automatic Control, Modelling & Simulation, and Proceedings of the 11th international conference on Microelectronics, Nanoelectronics, Optoelectronics

A reservoir-driven non-stationary hidden Markov model

Pattern Recognition

Adaptive pattern mining model for early detection of botnet-propagation scale

Security and Communication Networks

Uncovering spatial topology represented by rat hippocampal population neuronal codes

Journal of Computational Neuroscience

Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm

ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special Issue on Monte Carlo Methods in Statistics

Margin-maximizing classification of sequential data with infinitely-long temporal dependencies

Expert Systems with Applications: An International Journal

A survey on smartphone-based systems for opportunistic user context recognition

ACM Computing Surveys (CSUR)

Efficient Bayesian estimation of the multivariate Double Chain Markov Model

Statistics and Computing

Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

Statistics and Computing

Blind separation of non-stationary sources using continuous density hidden Markov models

Digital Signal Processing

Comment on the paper "On the memory complexity of the forward-backward algorithm," by Khreich W., Granger E., Miri A., Sabourin, R.

Pattern Recognition Letters

Exploring the latent segmentation space for the assessment of multiple change-point models

Computational Statistics

Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis

Statistics and Computing