(YIP) Solving Inference and Inverse Problems Using Soft Data

Abstract

The research funded by this grant involved four main thrusts: (1) Deepening our understanding of how to learn embeddings from similarity observations, (2) Developing techniques for adaptive sampling for estimation and learning, (3) Developing methods for exploiting dynamics in the context of low-rank matrix recovery, and (4) Improving our understanding of how to learn from point process data..

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Document Details

Document Type
Technical Report
Publication Date
Sep 12, 2019
Accession Number
AD1096685

Entities

People

  • Mark A. Davenport

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Compressed Sensing
  • Data Analysis
  • Data Science
  • Dimensionality Reduction
  • Embedding
  • Information Processing
  • Information Science
  • Information Theory
  • Inverse Problems
  • Machine Learning
  • Observation
  • Probabilistic Models
  • Signal Processing
  • Statistics
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Linear Algebra
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms