Clustering hidden Markov models with variational HEM
Reads0
Chats0
TLDR
A novel algorithm to cluster HMMs based on the hierarchical EM (HEM) algorithm, which effectively leverages large amounts of data when learning annotation models by using an efficient hierarchical estimation procedure, which reduces learning times and memory requirements, while improving model robustness through better regularization.Citations
More filters
Journal ArticleDOI
Understanding eye movements in face recognition using hidden Markov models
TL;DR: It is found that correct and wrong recognitions were associated with distinctive eye movement patterns; the difference between the two patterns lies in the transitions rather than locations of the fixations alone.
Journal ArticleDOI
Face exploration dynamics differentiate men and women.
TL;DR: The gender of both the participant and the person being observed are the factors that most influence gaze patterns during face exploration, and it is demonstrated that female gazers follow a much more exploratory scanning strategy than males watching videos of another person.
Journal ArticleDOI
Hidden Markov model analysis reveals the advantage of analytic eye movement patterns in face recognition across cultures.
TL;DR: It is suggested that active retrieval of facial feature information through an analytic eye movement pattern may be optimal for face recognition regardless of culture.
Journal ArticleDOI
Clustering multivariate time series using Hidden Markov Models.
TL;DR: An approach based on Hidden Markov Models (HMMs), where the first map each trajectory into an HMM, then define a suitable distance between HMMs and finally proceed to cluster the HMMs with a method based on a distance matrix is proposed.
Journal ArticleDOI
Eye-movement patterns in face recognition are associated with cognitive decline in older adults
TL;DR: Interestingly, older adults with lower cognitive status, particularly in executive and visual attention functioning, were associated with a higher likelihood of holistic patterns, suggesting the possibility of using eye movements as an easily deployable screening assessment for cognitive decline in older adults.
References
More filters
Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
Book
Fundamentals of speech recognition
TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.
Book
Information Theory, Inference and Learning Algorithms
TL;DR: A fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.