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researcher

J. Scoville

5 papers hereh-index 13 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • cs.MM1
same name
  • J. Scoville — 5 papers, h 4
  • J. Scoville — 5 papers, h 7
  • J. Scoville — 1 paper, h 1
  • J. Scoville — 1 paper, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102013
most citedOn Macroscopic Complexity and Perceptual Coding

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2013

Fast Autocorrelated Context Models for Data Compression

John Scoville

A method is presented to automatically generate context models of data by calculating the data's autocorrelation function. The largest values of the autocorrelation function occur…

cs.MM2012

Bounding Lossy Compression using Lossless Codes at Reduced Precision

John Scoville

An alternative approach to two-part 'critical compression' is presented. Whereas previous results were based on summing a lossless code at reduced precision with a lossy-compressed…

cs.IT2011

Critical Data Compression

John Scoville

A new approach to data compression is developed and applied to multimedia content. This method separates messages into components suitable for both lossless coding and 'lossy' or s…

cs.IT2010

On Universal Complexity Measures

John Scoville

We relate the computational complexity of finite strings to universal representations of their underlying symmetries. First, Boolean functions are classified using the universal co…

cs.IT2010★ 1 cited

On Macroscopic Complexity and Perceptual Coding

John Scoville

The theoretical limits of 'lossy' data compression algorithms are considered. The complexity of an object as seen by a macroscopic observer is the size of the perceptual code which…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.