A Step Forward in Multi-granular Automatic Speech Recognition

Mixture and Hidden Markov Models with R

Bayesian Methods For Real-Time Pitch Tracking

Méthodes de Monte Carlo EM et Approximations particulaires

Machine Learning Paradigms for Speech Recognition

Fully Polarimetric Land Cover Classification

Automatic Dialogue Act Recognition

Event-Driven 3D Vision for Human Activity Analysis

Automatic Classification of Animal Vocalizations

Continuous Speech Recognition

Punjabi TTS System Using Hidden Markov Models

Hardware architectures for HMM-based digital signal processing systems

Available Bandwidth Estimation

Music driven dance synthesis by multimodal dance performance analysis

Multi-Purpose Speech Recognition and Speech Synthesis System

Probabilistic Learning From Longitudinal Data

Facial Feature Tracking and Expression Recognition for Sign Language

Learning Driving Patterns

Handbook of Hidden Markov Models in Bioinformatics

Supervised Learning with Quantum Computers

Hidden Markov Models with Applications in Computational Biology

Pattern Recognition

Machine Learning with Quantum Computers

Hidden Markov Models for Time Series

Probabilistic Graphical Models

Hidden Markov Models and Applications

Machine Learning

Mathematical Perspectives on Neural Networks

Mean Field Simulation for Monte Carlo Integration

Statistical Modeling and Machine Learning for Molecular Biology

Mathematical Perspectives on Neural Networks

Handbook of Mixture Analysis

Context-based Classification

Statistical Language and Speech Processing

Transactions on Computational Science XVI

Energy Minimization Methods in Computer Vision and Pattern Recognition

Incremental Learning for Motion Prediction of Pedestrians and Vehicles

Statistics in Musicology

Sign on the Dotted Line

An Introduction to Sequential Monte Carlo

Incremental Learning for Motion Prediction of Pedestrians and Vehicles

Probabilistic Graphical Models

Introduction to IoT Analytics

Introduction to IoT Analytics

Modeling and Simulation in Python

Statistical Modeling and Machine Learning for Molecular Biology

Machine Learning

Machine Learning with Quantum Computers

Developments in Statistical Modelling

Discrete Stochastic Processes

Latent Markov Models for Longitudinal Data

Mean Field Simulation for Monte Carlo Integration

Handbook of Mixture Analysis

Principles of Signal Detection and Parameter Estimation

Hidden Markov Models and Applications

Tool Condition Monitoring In Micro-Milling

Modeling and Simulation in Python

Stochastic Modeling of Scientific Data

Economic Growth and Convergence

Handbook of Hidden Markov Models in Bioinformatics