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researcher

Jose A. Perea

24 papers hereh-index 151.1k citations35 works total

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

author position
  • sole author4
  • first author2
  • middle author3
  • last author15

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • math.AT12
  • cs.CG6
  • cs.CV2
  • cs.LG1
  • math.DS1
  • math.SP1

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedChatter Classification in Turning Using Machine Learning and Topological Data Analysis

44 citations · 109 across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019

Adaptive template systems: Data-driven feature selection for learning with persistence diagrams

Luis Polanco, Jose A. Perea

Feature extraction from persistence diagrams, as a tool to enrich machine learning techniques, has received increasing attention in recent years. In this paper we explore an adapti…

math.AT2019★ 3 cited

Künneth Formulae in Persistent Homology

Hitesh Gakhar, Jose A. Perea

The classical Künneth formula in algebraic topology describes the homology of a product space in terms of that of its factors. In this paper, we prove Künneth-type theorems for the…

math.AT2019★ 1 cited

Coordinatizing Data With Lens Spaces and Persistent Cohomology

Luis Polanco, Jose A. Perea

We introduce here a framework to construct coordinates in \emph{finite} Lens spaces for data with nontrivial 1-dimensional Zq​ persistent cohomology, q≥3. Said coo…

cs.CG2019★ 26 cited

Approximating Continuous Functions on Persistence Diagrams Using Template Functions

Jose A. Perea, Elizabeth Munch, Firas A. Khasawneh

The persistence diagram is an increasingly useful tool from Topological Data Analysis, but its use alongside typical machine learning techniques requires mathematical finesse. The…

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