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researcher

Eric C. Chi

29 papers hereh-index 171.5k citations47 works total

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

author position
  • first author11
  • middle author14
  • last author4

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • stat.ME10
  • stat.ML6
  • math.OC4
  • stat.CO4
  • stat.AP2
  • eess.SP1
same name
  • Eric C. Chi — 3 papers, h 2
  • Eric C. Chi — 2 papers, h 2
  • Eric C. Chi — 2 papers, h 2
  • Eric C. Chi — 2 papers, h 1
  • Eric C. Chi — 1 paper, h 1
  • Eric C. Chi — 1 paper, h 1

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
20112023
most citedOn Tensors, Sparsity, and Nonnegative Factorizations

283 citations · 933 across the 29 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

stat.AP2014★ 4 cited

Estimating a Common Period for a Set of Irregularly Sampled Functions with Applications to Periodic Variable Star Data

James P. Long, Eric C. Chi, Richard G. Baraniuk

We consider the estimation of a common period for a set of functions sampled at irregular intervals. The problem arises in astronomy, where the functions represent a star's brightn…

stat.CO2014★ 106 cited

k-POD: A Method for k-Means Clustering of Missing Data

Jocelyn T. Chi, Eric C. Chi, Richard G. Baraniuk

The k-means algorithm is often used in clustering applications but its usage requires a complete data matrix. Missing data, however, is common in many applications. Mainstream ap…

q-bio.GN2014★ 52 cited

Convex Clustering: An Attractive Alternative to Hierarchical Clustering

Gary K. Chen, Eric Chi, John Ranola +1

The primary goal in cluster analysis is to discover natural groupings of objects. The field of cluster analysis is crowded with diverse methods that make special assumptions about…

stat.ME2014★ 86 cited

Convex Biclustering

Eric C. Chi, Genevera I. Allen, Richard G. Baraniuk

In the biclustering problem, we seek to simultaneously group observations and features. While biclustering has applications in a wide array of domains, ranging from text mining to…

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