Modeling changing dependency structure in multivariate time series
X Xuan, K Murphy - Proceedings of the 24th international conference on …, 2007 - dl.acm.org
We show how to apply the efficient Bayesian changepoint detection techniques of
Fearnhead in the multivariate setting. We model the joint density of vector-valued …
Fearnhead in the multivariate setting. We model the joint density of vector-valued …
Deep explicit duration switching models for time series
Many complex time series can be effectively subdivided into distinct regimes that exhibit
persistent dynamics. Discovering the switching behavior and the statistical patterns in these …
persistent dynamics. Discovering the switching behavior and the statistical patterns in these …
Efficient duration and hierarchical modeling for human activity recognition
A challenge in building pervasive and smart spaces is to learn and recognize human
activities of daily living (ADLs). In this paper, we address this problem and argue that in …
activities of daily living (ADLs). In this paper, we address this problem and argue that in …
Shape-and-behavior encoded tracking of bee dances
Behavior analysis of social insects has garnered impetus in recent years and has led to
some advances in fields like control systems, flight navigation etc. Manual labeling of insect …
some advances in fields like control systems, flight navigation etc. Manual labeling of insect …
Switching vector autoregressive models with higher-order regime dynamics application to prognostics and health management
A Hochstein, HI Ahn, YT Leung… - … on prognostics and …, 2014 - ieeexplore.ieee.org
Regime switching vector autoregressive (RSVAR) models are typically used to model
changing dependency structures of multivariate time series. These changing regimes are …
changing dependency structures of multivariate time series. These changing regimes are …
A Novel Computational Approach for Simultaneous Tracking and Feature Extraction of C. elegans Populations in Fluid Environments
The nematode Caenorhabditis elegans (C. elegans) is a genetic model widely used to
dissect conserved basic biological mechanisms of development and nervous system …
dissect conserved basic biological mechanisms of development and nervous system …
Unsupervised view and rate invariant clustering of video sequences
Videos play an ever increasing role in our everyday lives with applications ranging from
news, entertainment, scientific research, security and surveillance. Coupled with the fact that …
news, entertainment, scientific research, security and surveillance. Coupled with the fact that …
Substructure and boundary modeling for continuous action recognition
This paper introduces a probabilistic graphical model for continuous action recognition with
two novel components: substructure transition model and discriminative boundary model …
two novel components: substructure transition model and discriminative boundary model …
[書籍][B] Intelligent video surveillance: systems and technology
Y Ma, G Qian - 2009 - taylorfrancis.com
From the streets of London to subway stations in New York City, hundreds of thousands of
surveillance cameras ubiquitously collect hundreds of thousands of videos, often running …
surveillance cameras ubiquitously collect hundreds of thousands of videos, often running …
A dataset of ant colonies' motion trajectories in indoor and outdoor scenes to study clustering behavior
Background The motion and interaction of social insects (such as ants) have been studied
by many researchers to understand clustering mechanisms. Most studies in the field of ant …
by many researchers to understand clustering mechanisms. Most studies in the field of ant …