Bayesian Tracking within a Feedback Sensing Environment: Estimating Interacting, Spatially Constrained Complex Dynamical Systems from Multiple Sources of Controllable Devices

Abstract

This grant led to developments in flexible models for complex time series in a range of applications with a focus on Bayesian and Bayesian nonparametric methods. Three fundamental challenges were tackled: (i) capturing evolving correlations in high-dimensional time series with possible missing or irregularly-spaced observations, (ii) performing diverse subset selection over time, and (iii) automatically learning an unknown set of simple underlying temporal structures to describe complex dynamical phenomena. Each of these methods was applied in a range of application domains including neuroimaging, diverse document selection, speaker diarization, stock modeling, and target tracking.

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2014
Accession Number
ADA609275

Entities

People

  • Emily B. Fox

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Data Science
  • Data Sets
  • Dictionaries
  • Gaussian Processes
  • Generative Models
  • Hidden Markov Models
  • Information Science
  • Learning
  • Markov Models
  • Models
  • Monte Carlo Method
  • Sampling
  • Signal Processing
  • Stochastic Processes
  • Target Tracking

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects