Contract W911NF-12-1-0529 (University of California - Berkeley)

Abstract

In this STIR project, we have achieved three major contributions in the application of sparse and low-rank representation in geometric 3D modeling of urban structures and high-dimensional pattern recognition at large. First, we proposed a novel algorithm to effectively detect geometry-rich low-rank image patterns in natural images. Second, we extended a sparse representation-based classification framework to the small-sample-set scenario. Finally, our research on accelerating the speed of sparse optimization solvers was accepted for publication.

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Document Details

Document Type
Technical Report
Publication Date
Aug 13, 2013
Accession Number
ADA592603

Entities

People

  • Allen Y. Yang

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Compressed Sensing
  • Computer Vision
  • Department Of Defense
  • Detection
  • Engineering
  • Geometry
  • Mathematics
  • Object Recognition
  • Optimization
  • Orientation (Direction)
  • Patents
  • Pattern Recognition
  • Recognition
  • Students

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Linear Algebra
  • Technical Research and Report Writing.

Technology Areas

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