Optimal transform coders for classification/reconstruction with joint decoding at the receiver

Soumya Jana, Pierre Moulin

Research output: Contribution to journalConference article

Abstract

In a variety of applications, classification algorithms operate on compressed signals. Further, in some systems, low distortion is desirable in addition to high classification accuracy. For classification/reconstruction, a high-rate design and an optimal transform coder are detailed.

Original languageEnglish (US)
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
StatePublished - Oct 20 2003
EventProceedings 2003 IEEE International Symposium on Information Theory (ISIT) - Yokohama, Japan
Duration: Jun 29 2003Jul 4 2003

Fingerprint

Decoding
Receiver
Transform
Classification Algorithm
Design

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

Cite this

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title = "Optimal transform coders for classification/reconstruction with joint decoding at the receiver",
abstract = "In a variety of applications, classification algorithms operate on compressed signals. Further, in some systems, low distortion is desirable in addition to high classification accuracy. For classification/reconstruction, a high-rate design and an optimal transform coder are detailed.",
author = "Soumya Jana and Pierre Moulin",
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language = "English (US)",
journal = "IEEE International Symposium on Information Theory - Proceedings",
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AU - Moulin, Pierre

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