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researcher

Johan S. Obando-Ceron

2 papers here

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

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDivide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2019★ 3 cited

Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure

Walter M. Mayor Toro, Juan C. Perafan Villota, Oscar H. Mondragon +1

Every day the number of traffic cameras in cities rapidly increase and huge amount of video data are generated. Parallel processing infrastruture, such as Hadoop, and programming m…

cs.LG2019

Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data

Johan S. Obando-Ceron, Victor Romero Cano, Walter Mayor Toro

This paper presents a framework for efficiently learning feature selection policies which use less features to reach a high classification precision on large unstructured data. It…

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